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Review Article

Generalized information theory: a review and outlook.

Received: July 01, 2010;   Accepted: August 05, 2010;   Published: December 01, 2010

How to cite this article

Introduction.

Several nonclassical theories of uncertainty were developed. These are theories based on generalized (graded) possibility measures, Sugeno λ-measures, Choquet capacities of order 8 and reachable interval-valued probability distributions ( ; ., 1977)

The above theories were generalized to a more general theory of imprecise probabilities which were based on a pair of dual measures-lower and upper probabilities and may also be represented in terms of closed and convex sets of probability distributions or functions obtained by the Möbius transform of lower or upper probabilities. Some common properties of the theories were recognized and utilized ( )

The Hartley and Shannon functions for measuring the uncertainty in classical theories of uncertainty have been generalized not only to the special theories listed above but also to other theories dealing with imprecise probabilities ( )

Only some limited efforts have been made thus far to fuzzify the various uncertainty theories. They include a fuzzification of classical probabilities to fuzzy events, a fuzzification of the theory based on reachable interval-valued probability distributions, several distinct fuzzifications of the Dempster-Shafer theory and the fuzzy-set interpretation of the theory of graded possibilities ( ., 1994; ., 2004; ; ; ; )

Some limited results have been obtained for formulating and using the principles of minimum and maximum uncertainty within the various nonclassical uncertainty theories. Two new principles emerged from GIT: the principle of requisite generalization and the principle of uncertainty invariance. The principle of requisite generalization requires no unnecessary limitation. the principle of uncertainty invariance requires that the amount of uncertainty (and the associated uncertainty based information) should be preserved in each transformation from one uncertainty theory to another. The primary use of this principle is to approximate in a meaningful way uncertainty formalized in a given theory by a formalization in a theory that is less general ( )

How to measure the facticity degree of state logic and effectiveness degree of state, both of them are parameters of the theory

Is it suitable that all the information measure formulas are similar to Shannon’s entropy formula?

Is information have internal structure? What’s the relative of the component elements?

A message received and understood that reduces the recipient's uncertainty

Knowledge acquired through study or experience or instruction

(Communication theory) a numerical measure of the uncertainty of an outcome

A collection of facts from which conclusions may be drawn

The act of informing, or communicating knowledge or intelligence

News, advice, or knowledge, communicated by others or obtained by personal study and investigation

Intelligence; knowledge derived from reading, observation, or instruction

Information is the objective things that exist in the world

Information is the universal property

gave an all-round information definition. He classified information into information on the subject level and information on cognition level, he defined information on the subject level as the self-description of the state of motion and variation pattern of the event, also defined information on the cognition level as the state of motion and variation pattern of the event that the subject percepts or expresses, including the form, meaning and utilization of the motion or pattern. He named the information on cognition level that included the form, meaning and utilization of the motion or pattern as comprehensive information ( )

CONCLUSIONS

Acknowledgment.

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Information theory and cognition: a review.

information theory literature review

1. Introduction

2. information theory—a very brief introduction, 3. information transfer over neurons, 3.1. the single neuron, 3.2. multiple neurons and population codes, 4. entropy and information in cognitive tasks, 4.1. hick–hyman law, 4.2. cognitive control, 5. model-based cognition, 5.1. perceptual information processing involves processing prediction errors, 5.2. cognitive load, 6. conclusions, acknowledgments, conflicts of interest.

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Sayood, K. Information Theory and Cognition: A Review. Entropy 2018 , 20 , 706. https://doi.org/10.3390/e20090706

Sayood K. Information Theory and Cognition: A Review. Entropy . 2018; 20(9):706. https://doi.org/10.3390/e20090706

Sayood, Khalid. 2018. "Information Theory and Cognition: A Review" Entropy 20, no. 9: 706. https://doi.org/10.3390/e20090706

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A systematic review of integrated information theory: a perspective from artificial intelligence and the cognitive sciences

  • S.I.: Knowledge services: challenges and future prospects
  • Published: 07 February 2023

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information theory literature review

  • Luz Enith Guerrero 1 ,
  • Luis Fernando Castillo   ORCID: orcid.org/0000-0002-2878-8229 1 ,
  • Jeferson Arango-López   ORCID: orcid.org/0000-0001-8072-9130 1 &
  • Fernando Moreira   ORCID: orcid.org/0000-0002-0816-1445 2  

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The study of consciousness has gained momentum in recent years by the scientific community. In this same sense, the relationship between cognitive sciences and artificial intelligence presents a fundamental theoretical framework in the study of integrated information theory (IIT) as a theory that makes its way into the knowledge of consciousness. However, there are few studies that integrate these topics and a systematic review of the literature is highly pertinent. This paper seeks to identify methods, methodologies or computational solutions using artificial intelligence and cognitive science fundamentals that can provide some kind of solution to the challenges posed by IIT.

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Data availability statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

These frameworks or cognitive architectures refer to the theory of mind structure, taking human consciousness, with the aim of bringing cognitive knowledge into computational models [ 1 ].

Reference [ 28 ] believe that part of the difficulty in dealing with the difficult problem of consciousness has been the way science has approached it, so the theory aims to start from the simple or primary consciousness and asks what kind of physical mechanisms could give rise to it.

Total refers to whether the IIT is used. Partial refers to whether it only uses some features or components of ITI. None refers to not using any of the theory.

Internet of Things.

Another measure of network interactions as defined by [ 93 ].

reading short documents and guiding the humanoid robot Sofia in performing a dialogue-based interaction.

Exhibiting some relationship to the global workspace awareness theory (GWT).

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Departamento de Sistemas e Informática, Universidad de Caldas, Manizales, Colombia

Luz Enith Guerrero, Luis Fernando Castillo & Jeferson Arango-López

REMIT, IJP, Universidade Portucalense and IEETA, Universidade de Aveiro, Aveiro, Portugal

Fernando Moreira

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Id

Title

Authors

P1

A theory of consciousness computation, algorithm, and neurobiological realization

Johannes Hendrik van Hateren

P2

A Hybrid Evolutionary Algorithm for Evolving a Conscious Machine

Vijay A. Kanade

P3

A New Theoretical Framework for Testing Consciousness in a Machine

Azree Nazri, Abdul Azim Abd Ghani, Izuan Hafez, Keng-Yap Ng

P4

A Physicalist causally oriented Foundation for a Conscious Machine based on the Spread Mind

Riccardo Manzotti

P5

A test for consciousness

Christof Koch, Giulio Tononi

P6

ConsScale A Pragmatic Scale for Measuring the Level of Consciousness in Artificial Agents

Raul Arrabales M., Agapito Ledezma E., Araceli Sanchis de Miguel

P7

An Experience Is a Knowledge Representation

Keith McGreggor

P8

Artificial Intelligence and Consciousness

David Gamez, Owen Holland

P9

Ascribing Consciousness to Artificial Intelligence

Murray Shanahan

P10

Can Biological Quantum Networks Solve NP-Hard Problems?

Goran Wendin

P11

Can machines be conscious

Christof Koch,Giulio Tononi

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P13

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P15

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P16

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P17

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P19

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P20

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P26

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P27

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P33

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P57

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P59

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Dependent measure of the state

Dependent measure of the state

Features

Efficiency

Fuente

Φ

Φ

Integrated information (II) according to IIT3.0

It is the measure according to IIT3.0 in order O(n53n) [ ], for binary systems with n being the number of elements in the system

Oizumi [ ]

CO Φ

CO Φ

"Cut-one" Cut a connection when partitioning. Reduces the scope of the IPM search over all possible cuts in the system

It does not evaluate the partitioned CES for each of the 2n unidirectional bipartitions of the system, only the 2n bipartitions separating the arcs from a single node to the rest of the network or vice versa are evaluated. Since one wants to find the minimum value of Φ in all possible partitions, this approach gives an upper bound on the exact value of Φ of the system

Mayner et al. [ ]

NNΦ

NNΦ

"No new concepts" No new concepts after partitioning. It is possible that the CES (of the partitioned system) in most of the alternative mechanism partitioning schemes and distance measurements, of the partitioned system has reducible concepts in the non-partitioned system, thus, they would not be part of the non-partitioned CES. Thus, PyPhi calculates by default the partitioned CES from the beginning of the partitioned TPM. With this approach these new concepts are ignored. Only those mechanisms that already specify concepts in the non-partitioned CES are taken, and the entire CES calculation is not repeated for each partition of the system (which must reevaluate all possible candidate mechanisms for irreducibility)

In many types of systems, new concepts due to partitioning are rare. Therefore, approximations using the "no new concepts" option usually New concepts due to partitioning are rare in a wide variety of systems. Consequently, using "No new concepts" yields results that are usually accurate for approaches that use it. However, it should be clear that this approximation provides neither a theoretical upper bound nor a theoretical lower bound on the exact value of Φ of the system

Mayner et al. [ ]

WSΦ

WSΦ

System as a whole. All nodes in the system are included in the CM

Defining the complete system as the larger complex avoids testing each candidate subsystem

Nilsen et al. [ ]

ICΦ

ICΦ

 

Excluding these nodes is actually not an approximation but a shorter route since those nodes should be outside the larger complex

Nilsen et al. [ ]

 

Est.nΦ

Iterative cuts. The subsystem of the network where all nodes with non-recursive connectivity or an unreachable state are iteratively removed are included in the larger complex

It takes a few states instead of taking the maximum over all possible states. Its growth is exponential in computational time

Nilsen et al. [ ]

Φ

Φ

Estimation of Φ3.0peak from n states (n = 1,2, 3,…,15)

Measure bounded by exponential growth in computational time

Balduzzi and Tononi [ ]

Φ

Φ

Integrated information according to IIT2.0

Φ2.0 incorporating minimization over both cause-effect and not just cause. Measurement limited by exponential growth in computational time

Tegmark [ ]

 

D1

A combination between Φ2.0 and Φ3.0 features

It is inversely related to a degeneracy of the system of state transitions

Marshall et al. [ ]

 

D2

Achievable states. The number of states that were reachable is calculated by quantifying the repertoire of available states of the system

Indicates the degree of difference between system states

Marshall et al. [ ]

 

S

Cumulative variance of activity elements at each system node given the maximum entropy distribution of initial conditions

Heuristic measure for observed time series data. Used in EEG to distinguish states of consciousness

Schartner et al. [ ]

 

LZ

Sample coalition entropy. A measure of the entropy of the observed state distribution that indicates the average diversity of a system of visited states

Heuristic measure for observed time series data. Indicates the degree of order or patterns in sequences of observed states of a system. Used in EEG to distinguish states of consciousness

Schartner et al. [ ]

 

Φ

Functional complexity. Signal complexity measured by algorithmic compressibility through Lempel–Ziv compression

Employ an exhaustive search of the MIP with a bipartition scheme (2n-1–1)

Oizumi et al. [ ]

 

SI

Integrated decoder-based information on IIT2.0

Employ an exhaustive search of the IPM with a bipartition scheme (2n–1–1)

Barrett and Seth [ ]

 

MI

Integrated stochastic interaction. Based on IIT2.0

Employ an exhaustive IPM search with a bipartitioning scheme (2n–1–1)

Oizumi et al. [ ]

 

Geometrical integrated information

Mutual information. Based on IIT1.0

Enables methodological unification of many information theoretic measures such as transfer entropy, MI, SI and II. Quantifies the strength of multiple causal influences between elements, projecting the probability distribution of complex systems in restricted multidimensional varieties

Tozzi [ ]

Data of main authors are available in the link:

https://docs.google.com/spreadsheets/d/1A9c5QOsTL1siMXZyVin_8Va0u7WJOOeh/edit?usp=share_link&ouid=112201640395350008286&rtpof=true&sd=true

In addition, the main image is presented below with all the authors who published at least one related article.

figure a

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Guerrero, L.E., Castillo, L.F., Arango-López, J. et al. A systematic review of integrated information theory: a perspective from artificial intelligence and the cognitive sciences. Neural Comput & Applic (2023). https://doi.org/10.1007/s00521-023-08328-z

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Received : 13 September 2022

Accepted : 16 January 2023

Published : 07 February 2023

DOI : https://doi.org/10.1007/s00521-023-08328-z

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  • Integrated information
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  • Consciousness
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  • Cognitive systems

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1 Introduction to information theory

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This chapter introduces some of the basic concepts of information theory, as well as the definitions and notations of probability theory that are used throughout the book. It defines the fundamental notions of entropy, relative entropy, and mutual information. It also presents the main questions of information theory: data compression and data transmission. Finally, it offers a brief introduction to error correcting codes and Shannon's theory.

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  • Literature Review: The What, Why and How-to Guide
  • Introduction

Literature Review: The What, Why and How-to Guide — Introduction

  • Getting Started
  • How to Pick a Topic
  • Strategies to Find Sources
  • Evaluating Sources & Lit. Reviews
  • Tips for Writing Literature Reviews
  • Writing Literature Review: Useful Sites
  • Citation Resources
  • Other Academic Writings

What are Literature Reviews?

So, what is a literature review? "A literature review is an account of what has been published on a topic by accredited scholars and researchers. In writing the literature review, your purpose is to convey to your reader what knowledge and ideas have been established on a topic, and what their strengths and weaknesses are. As a piece of writing, the literature review must be defined by a guiding concept (e.g., your research objective, the problem or issue you are discussing, or your argumentative thesis). It is not just a descriptive list of the material available, or a set of summaries." Taylor, D.  The literature review: A few tips on conducting it . University of Toronto Health Sciences Writing Centre.

Goals of Literature Reviews

What are the goals of creating a Literature Review?  A literature could be written to accomplish different aims:

  • To develop a theory or evaluate an existing theory
  • To summarize the historical or existing state of a research topic
  • Identify a problem in a field of research 

Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews .  Review of General Psychology , 1 (3), 311-320.

What kinds of sources require a Literature Review?

  • A research paper assigned in a course
  • A thesis or dissertation
  • A grant proposal
  • An article intended for publication in a journal

All these instances require you to collect what has been written about your research topic so that you can demonstrate how your own research sheds new light on the topic.

Types of Literature Reviews

What kinds of literature reviews are written?

Narrative review: The purpose of this type of review is to describe the current state of the research on a specific topic/research and to offer a critical analysis of the literature reviewed. Studies are grouped by research/theoretical categories, and themes and trends, strengths and weakness, and gaps are identified. The review ends with a conclusion section which summarizes the findings regarding the state of the research of the specific study, the gaps identify and if applicable, explains how the author's research will address gaps identify in the review and expand the knowledge on the topic reviewed.

  • Example : Predictors and Outcomes of U.S. Quality Maternity Leave: A Review and Conceptual Framework:  10.1177/08948453211037398  

Systematic review : "The authors of a systematic review use a specific procedure to search the research literature, select the studies to include in their review, and critically evaluate the studies they find." (p. 139). Nelson, L. K. (2013). Research in Communication Sciences and Disorders . Plural Publishing.

  • Example : The effect of leave policies on increasing fertility: a systematic review:  10.1057/s41599-022-01270-w

Meta-analysis : "Meta-analysis is a method of reviewing research findings in a quantitative fashion by transforming the data from individual studies into what is called an effect size and then pooling and analyzing this information. The basic goal in meta-analysis is to explain why different outcomes have occurred in different studies." (p. 197). Roberts, M. C., & Ilardi, S. S. (2003). Handbook of Research Methods in Clinical Psychology . Blackwell Publishing.

  • Example : Employment Instability and Fertility in Europe: A Meta-Analysis:  10.1215/00703370-9164737

Meta-synthesis : "Qualitative meta-synthesis is a type of qualitative study that uses as data the findings from other qualitative studies linked by the same or related topic." (p.312). Zimmer, L. (2006). Qualitative meta-synthesis: A question of dialoguing with texts .  Journal of Advanced Nursing , 53 (3), 311-318.

  • Example : Women’s perspectives on career successes and barriers: A qualitative meta-synthesis:  10.1177/05390184221113735

Literature Reviews in the Health Sciences

  • UConn Health subject guide on systematic reviews Explanation of the different review types used in health sciences literature as well as tools to help you find the right review type
  • << Previous: Getting Started
  • Next: How to Pick a Topic >>
  • Last Updated: Sep 21, 2022 2:16 PM
  • URL: https://guides.lib.uconn.edu/literaturereview

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  • How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

  • Search for relevant literature
  • Evaluate sources
  • Identify themes, debates, and gaps
  • Outline the structure
  • Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

  • Quick Run-through
  • Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

  • Demonstrate your familiarity with the topic and its scholarly context
  • Develop a theoretical framework and methodology for your research
  • Position your work in relation to other researchers and theorists
  • Show how your research addresses a gap or contributes to a debate
  • Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

Literature review guide

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

  • Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
  • Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
  • Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
  • Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

  • Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
  • Body image, self-perception, self-esteem, mental health
  • Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

  • Your university’s library catalogue
  • Google Scholar
  • Project Muse (humanities and social sciences)
  • Medline (life sciences and biomedicine)
  • EconLit (economics)
  • Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

  • What question or problem is the author addressing?
  • What are the key concepts and how are they defined?
  • What are the key theories, models, and methods?
  • Does the research use established frameworks or take an innovative approach?
  • What are the results and conclusions of the study?
  • How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
  • What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

  • Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
  • Themes: what questions or concepts recur across the literature?
  • Debates, conflicts and contradictions: where do sources disagree?
  • Pivotal publications: are there any influential theories or studies that changed the direction of the field?
  • Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

  • Most research has focused on young women.
  • There is an increasing interest in the visual aspects of social media.
  • But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

  • Look at what results have emerged in qualitative versus quantitative research
  • Discuss how the topic has been approached by empirical versus theoretical scholarship
  • Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

  • Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
  • Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
  • Critically evaluate: mention the strengths and weaknesses of your sources
  • Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

  • Sampling methods
  • Simple random sampling
  • Stratified sampling
  • Cluster sampling
  • Likert scales
  • Reproducibility

 Statistics

  • Null hypothesis
  • Statistical power
  • Probability distribution
  • Effect size
  • Poisson distribution

Research bias

  • Optimism bias
  • Cognitive bias
  • Implicit bias
  • Hawthorne effect
  • Anchoring bias
  • Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

  • To familiarize yourself with the current state of knowledge on your topic
  • To ensure that you’re not just repeating what others have already done
  • To identify gaps in knowledge and unresolved problems that your research can address
  • To develop your theoretical framework and methodology
  • To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

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Ten Simple Rules for Writing a Literature Review

Marco pautasso.

1 Centre for Functional and Evolutionary Ecology (CEFE), CNRS, Montpellier, France

2 Centre for Biodiversity Synthesis and Analysis (CESAB), FRB, Aix-en-Provence, France

Literature reviews are in great demand in most scientific fields. Their need stems from the ever-increasing output of scientific publications [1] . For example, compared to 1991, in 2008 three, eight, and forty times more papers were indexed in Web of Science on malaria, obesity, and biodiversity, respectively [2] . Given such mountains of papers, scientists cannot be expected to examine in detail every single new paper relevant to their interests [3] . Thus, it is both advantageous and necessary to rely on regular summaries of the recent literature. Although recognition for scientists mainly comes from primary research, timely literature reviews can lead to new synthetic insights and are often widely read [4] . For such summaries to be useful, however, they need to be compiled in a professional way [5] .

When starting from scratch, reviewing the literature can require a titanic amount of work. That is why researchers who have spent their career working on a certain research issue are in a perfect position to review that literature. Some graduate schools are now offering courses in reviewing the literature, given that most research students start their project by producing an overview of what has already been done on their research issue [6] . However, it is likely that most scientists have not thought in detail about how to approach and carry out a literature review.

Reviewing the literature requires the ability to juggle multiple tasks, from finding and evaluating relevant material to synthesising information from various sources, from critical thinking to paraphrasing, evaluating, and citation skills [7] . In this contribution, I share ten simple rules I learned working on about 25 literature reviews as a PhD and postdoctoral student. Ideas and insights also come from discussions with coauthors and colleagues, as well as feedback from reviewers and editors.

Rule 1: Define a Topic and Audience

How to choose which topic to review? There are so many issues in contemporary science that you could spend a lifetime of attending conferences and reading the literature just pondering what to review. On the one hand, if you take several years to choose, several other people may have had the same idea in the meantime. On the other hand, only a well-considered topic is likely to lead to a brilliant literature review [8] . The topic must at least be:

  • interesting to you (ideally, you should have come across a series of recent papers related to your line of work that call for a critical summary),
  • an important aspect of the field (so that many readers will be interested in the review and there will be enough material to write it), and
  • a well-defined issue (otherwise you could potentially include thousands of publications, which would make the review unhelpful).

Ideas for potential reviews may come from papers providing lists of key research questions to be answered [9] , but also from serendipitous moments during desultory reading and discussions. In addition to choosing your topic, you should also select a target audience. In many cases, the topic (e.g., web services in computational biology) will automatically define an audience (e.g., computational biologists), but that same topic may also be of interest to neighbouring fields (e.g., computer science, biology, etc.).

Rule 2: Search and Re-search the Literature

After having chosen your topic and audience, start by checking the literature and downloading relevant papers. Five pieces of advice here:

  • keep track of the search items you use (so that your search can be replicated [10] ),
  • keep a list of papers whose pdfs you cannot access immediately (so as to retrieve them later with alternative strategies),
  • use a paper management system (e.g., Mendeley, Papers, Qiqqa, Sente),
  • define early in the process some criteria for exclusion of irrelevant papers (these criteria can then be described in the review to help define its scope), and
  • do not just look for research papers in the area you wish to review, but also seek previous reviews.

The chances are high that someone will already have published a literature review ( Figure 1 ), if not exactly on the issue you are planning to tackle, at least on a related topic. If there are already a few or several reviews of the literature on your issue, my advice is not to give up, but to carry on with your own literature review,

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Object name is pcbi.1003149.g001.jpg

The bottom-right situation (many literature reviews but few research papers) is not just a theoretical situation; it applies, for example, to the study of the impacts of climate change on plant diseases, where there appear to be more literature reviews than research studies [33] .

  • discussing in your review the approaches, limitations, and conclusions of past reviews,
  • trying to find a new angle that has not been covered adequately in the previous reviews, and
  • incorporating new material that has inevitably accumulated since their appearance.

When searching the literature for pertinent papers and reviews, the usual rules apply:

  • be thorough,
  • use different keywords and database sources (e.g., DBLP, Google Scholar, ISI Proceedings, JSTOR Search, Medline, Scopus, Web of Science), and
  • look at who has cited past relevant papers and book chapters.

Rule 3: Take Notes While Reading

If you read the papers first, and only afterwards start writing the review, you will need a very good memory to remember who wrote what, and what your impressions and associations were while reading each single paper. My advice is, while reading, to start writing down interesting pieces of information, insights about how to organize the review, and thoughts on what to write. This way, by the time you have read the literature you selected, you will already have a rough draft of the review.

Of course, this draft will still need much rewriting, restructuring, and rethinking to obtain a text with a coherent argument [11] , but you will have avoided the danger posed by staring at a blank document. Be careful when taking notes to use quotation marks if you are provisionally copying verbatim from the literature. It is advisable then to reformulate such quotes with your own words in the final draft. It is important to be careful in noting the references already at this stage, so as to avoid misattributions. Using referencing software from the very beginning of your endeavour will save you time.

Rule 4: Choose the Type of Review You Wish to Write

After having taken notes while reading the literature, you will have a rough idea of the amount of material available for the review. This is probably a good time to decide whether to go for a mini- or a full review. Some journals are now favouring the publication of rather short reviews focusing on the last few years, with a limit on the number of words and citations. A mini-review is not necessarily a minor review: it may well attract more attention from busy readers, although it will inevitably simplify some issues and leave out some relevant material due to space limitations. A full review will have the advantage of more freedom to cover in detail the complexities of a particular scientific development, but may then be left in the pile of the very important papers “to be read” by readers with little time to spare for major monographs.

There is probably a continuum between mini- and full reviews. The same point applies to the dichotomy of descriptive vs. integrative reviews. While descriptive reviews focus on the methodology, findings, and interpretation of each reviewed study, integrative reviews attempt to find common ideas and concepts from the reviewed material [12] . A similar distinction exists between narrative and systematic reviews: while narrative reviews are qualitative, systematic reviews attempt to test a hypothesis based on the published evidence, which is gathered using a predefined protocol to reduce bias [13] , [14] . When systematic reviews analyse quantitative results in a quantitative way, they become meta-analyses. The choice between different review types will have to be made on a case-by-case basis, depending not just on the nature of the material found and the preferences of the target journal(s), but also on the time available to write the review and the number of coauthors [15] .

Rule 5: Keep the Review Focused, but Make It of Broad Interest

Whether your plan is to write a mini- or a full review, it is good advice to keep it focused 16 , 17 . Including material just for the sake of it can easily lead to reviews that are trying to do too many things at once. The need to keep a review focused can be problematic for interdisciplinary reviews, where the aim is to bridge the gap between fields [18] . If you are writing a review on, for example, how epidemiological approaches are used in modelling the spread of ideas, you may be inclined to include material from both parent fields, epidemiology and the study of cultural diffusion. This may be necessary to some extent, but in this case a focused review would only deal in detail with those studies at the interface between epidemiology and the spread of ideas.

While focus is an important feature of a successful review, this requirement has to be balanced with the need to make the review relevant to a broad audience. This square may be circled by discussing the wider implications of the reviewed topic for other disciplines.

Rule 6: Be Critical and Consistent

Reviewing the literature is not stamp collecting. A good review does not just summarize the literature, but discusses it critically, identifies methodological problems, and points out research gaps [19] . After having read a review of the literature, a reader should have a rough idea of:

  • the major achievements in the reviewed field,
  • the main areas of debate, and
  • the outstanding research questions.

It is challenging to achieve a successful review on all these fronts. A solution can be to involve a set of complementary coauthors: some people are excellent at mapping what has been achieved, some others are very good at identifying dark clouds on the horizon, and some have instead a knack at predicting where solutions are going to come from. If your journal club has exactly this sort of team, then you should definitely write a review of the literature! In addition to critical thinking, a literature review needs consistency, for example in the choice of passive vs. active voice and present vs. past tense.

Rule 7: Find a Logical Structure

Like a well-baked cake, a good review has a number of telling features: it is worth the reader's time, timely, systematic, well written, focused, and critical. It also needs a good structure. With reviews, the usual subdivision of research papers into introduction, methods, results, and discussion does not work or is rarely used. However, a general introduction of the context and, toward the end, a recapitulation of the main points covered and take-home messages make sense also in the case of reviews. For systematic reviews, there is a trend towards including information about how the literature was searched (database, keywords, time limits) [20] .

How can you organize the flow of the main body of the review so that the reader will be drawn into and guided through it? It is generally helpful to draw a conceptual scheme of the review, e.g., with mind-mapping techniques. Such diagrams can help recognize a logical way to order and link the various sections of a review [21] . This is the case not just at the writing stage, but also for readers if the diagram is included in the review as a figure. A careful selection of diagrams and figures relevant to the reviewed topic can be very helpful to structure the text too [22] .

Rule 8: Make Use of Feedback

Reviews of the literature are normally peer-reviewed in the same way as research papers, and rightly so [23] . As a rule, incorporating feedback from reviewers greatly helps improve a review draft. Having read the review with a fresh mind, reviewers may spot inaccuracies, inconsistencies, and ambiguities that had not been noticed by the writers due to rereading the typescript too many times. It is however advisable to reread the draft one more time before submission, as a last-minute correction of typos, leaps, and muddled sentences may enable the reviewers to focus on providing advice on the content rather than the form.

Feedback is vital to writing a good review, and should be sought from a variety of colleagues, so as to obtain a diversity of views on the draft. This may lead in some cases to conflicting views on the merits of the paper, and on how to improve it, but such a situation is better than the absence of feedback. A diversity of feedback perspectives on a literature review can help identify where the consensus view stands in the landscape of the current scientific understanding of an issue [24] .

Rule 9: Include Your Own Relevant Research, but Be Objective

In many cases, reviewers of the literature will have published studies relevant to the review they are writing. This could create a conflict of interest: how can reviewers report objectively on their own work [25] ? Some scientists may be overly enthusiastic about what they have published, and thus risk giving too much importance to their own findings in the review. However, bias could also occur in the other direction: some scientists may be unduly dismissive of their own achievements, so that they will tend to downplay their contribution (if any) to a field when reviewing it.

In general, a review of the literature should neither be a public relations brochure nor an exercise in competitive self-denial. If a reviewer is up to the job of producing a well-organized and methodical review, which flows well and provides a service to the readership, then it should be possible to be objective in reviewing one's own relevant findings. In reviews written by multiple authors, this may be achieved by assigning the review of the results of a coauthor to different coauthors.

Rule 10: Be Up-to-Date, but Do Not Forget Older Studies

Given the progressive acceleration in the publication of scientific papers, today's reviews of the literature need awareness not just of the overall direction and achievements of a field of inquiry, but also of the latest studies, so as not to become out-of-date before they have been published. Ideally, a literature review should not identify as a major research gap an issue that has just been addressed in a series of papers in press (the same applies, of course, to older, overlooked studies (“sleeping beauties” [26] )). This implies that literature reviewers would do well to keep an eye on electronic lists of papers in press, given that it can take months before these appear in scientific databases. Some reviews declare that they have scanned the literature up to a certain point in time, but given that peer review can be a rather lengthy process, a full search for newly appeared literature at the revision stage may be worthwhile. Assessing the contribution of papers that have just appeared is particularly challenging, because there is little perspective with which to gauge their significance and impact on further research and society.

Inevitably, new papers on the reviewed topic (including independently written literature reviews) will appear from all quarters after the review has been published, so that there may soon be the need for an updated review. But this is the nature of science [27] – [32] . I wish everybody good luck with writing a review of the literature.

Acknowledgments

Many thanks to M. Barbosa, K. Dehnen-Schmutz, T. Döring, D. Fontaneto, M. Garbelotto, O. Holdenrieder, M. Jeger, D. Lonsdale, A. MacLeod, P. Mills, M. Moslonka-Lefebvre, G. Stancanelli, P. Weisberg, and X. Xu for insights and discussions, and to P. Bourne, T. Matoni, and D. Smith for helpful comments on a previous draft.

Funding Statement

This work was funded by the French Foundation for Research on Biodiversity (FRB) through its Centre for Synthesis and Analysis of Biodiversity data (CESAB), as part of the NETSEED research project. The funders had no role in the preparation of the manuscript.

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