MLKN.lab · Open Access Monographs

Open Access Monographs

Foundational and transformative open-access monographs for MLKN.lab’s computational epistemology and polyhierarchical knowledge framework.

Overview

Curated List of Key References

MLKN.lab’s Open Access Monographs collection is a curated library of interdisciplinary, open-access books that underpin the MLKN.model (computational epistemology) and MLKN.hypergraph (polyhierarchical knowledge network). These monographs span metascience, cognitive architectures, network theory, systems science, and AI, providing the theoretical depth and methodological rigor to explore the structural topology of scientific knowledge.


Below is a dynamic, filterable list of 200+ open-access monographs from Springer, MIT Press, Cambridge Core, and other leading publishers. Use the search bar and filters to navigate by discipline, year, publisher, or keyword, and discover works that align with your research interests—from foundational theories to cutting-edge applications.

Core References: Foundations


Core References: Methods


Core References: Research Infrastructure


Core References: Applications


Extended References


Showing all references (15)

Core References (MLKN.lab Focus)

Foundational open access monographs that define the theoretical, mathematical, and cognitive underpinnings of MLKN.lab’s polyhierarchical framework. These references span meta-science, computational epistemology, cognitive science, human-machine-interaction, human-AI-interaction, network theory, systems science, and data science, providing the conceptual bedrock for modeling knowledge as a dynamic, interconnected system.


Metascience

The Science of Science and Knowledge Diffusion.

  • 2026

    Dana Tulodziecki (Ed.). (2026). Underdetermination and Theoretical Virtues. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2026

    Francesco Nappo, & Giovanni Valente (Eds.). (2026). Analogical Reasoning in Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2026

    Louis Vervoort (Ed.) (2026). Problem Solving in Philosophy. Springer Cham.

    DOI PDF
    Open Access / Springer
  • 2025

    Filippo Ferrari, & Massimiliano Carrara (Eds.). (2025). Logic and Science: An Exploration of Logical Anti-Exceptionalism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Mirja Hartimo (Ed.). (2025). Husserl's Philosophy of Mathematical Practice. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Neil Levy (Ed.). (2024). Philosophy, Bullshit, and Peer Review. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    M. Chirimuuta (Ed.) (2024). The Brain Abstracted: Simplification in the History and Philosophy of Neuroscience. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Elaine Landry (Ed.). (2023). Plato Was Not a Mathematical Platonist. MIT Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Muhammad Ali Khalidi (Ed.). (2023). Natural Kinds. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Sabina Leonelli (Ed.). (2023). Philosophy of Open Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    James Nguyen, & Roman Frigg (Eds.). (2022). Scientific Representation. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Frank Miedema (Ed.) (2022). Open Science: the Very Idea. Springer Dordrecht.

    DOI PDF
    Open Access / Springer
  • 2022

    Nancy J. Nersessian (Ed.) (2022). Interdisciplinarity in the Making: Models and Methods in Frontier Science. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Chris Haufe (Ed.) (2022). How Knowledge Grows: The Evolutionary Development of Scientific Practice. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Rachel A. Ankeny, & Sabina Leonelli (Ed.). (2021). Model Organisms. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2021

    Tuomas E. Tahko (Ed.). (2021). Unity of Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2016

    Peter Suber (Ed.) (2016). Knowledge Unbound: Selected Writings on Open Access, 2002–2011. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2012

    Peter Suber (Ed.) (2012). Open Access. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1991

    Steve Joshua Heims (Ed.) (1991). The Cybernetics Group. MIT Press.

    DOI PDF
    Open Access / MIT D20

Computational Epistemology

Knowledge Representation and Reasoning.

  • 2026

    Dana Tulodziecki (Ed.). (2026). Underdetermination and Theoretical Virtues. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2026

    Francesco Nappo, & Giovanni Valente (Eds.). (2026). Analogical Reasoning in Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2026

    Johanna Seibt, Raul Hakli, Marco Nørskov (Eds.) (2026). Robophilosophy: Philosophy of, for, and by Social Robotics. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2025

    A Defence (Ed.). (2025). Knowledge-First Epistemology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Ben Martin (Ed.). (2025). The Epistemology of Logic. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Filippo Ferrari, & Massimiliano Carrara (Eds.). (2025). Logic and Science: An Exploration of Logical Anti-Exceptionalism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Lauren N. Ross (Ed.). (2025). Explanation in Biology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Mirja Hartimo (Ed.). (2025). Husserl's Philosophy of Mathematical Practice. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Michael D. Kirchhoff (Ed.). (2025). The Idealized Mind: From Model-Based Science to Cognitive Science. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2025

    Rory Madden (Ed.). (2025). Personal Identity and the Self. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Finnur Dellsén (Ed.). (2024). Abductive Reasoning in Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Marjorie McShane, Sergei Nirenburg, Jesse English (Eds.) (2024). Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2024

    M. Chirimuuta (Ed.) (2024). The Brain Abstracted: Simplification in the History and Philosophy of Neuroscience. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2024

    Neil Levy (Ed.). (2024). Philosophy, Bullshit, and Peer Review. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Roberto Casati (Ed.) (2024). The Cognitive Life of Maps. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Alison K. McConwell (Ed.). (2023). Biological Individuality. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    David J. Gunkel (Ed.) (2023). Person, Thing, Robot: A Moral and Legal Ontology for the 21st Century and Beyond. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Elaine Landry (Ed.). (2023). Plato Was Not a Mathematical Platonist. MIT Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Marc G. Bellemare, Will Dabney, Mark Rowland (Eds.) (2023). Distributional Reinformcement Learning. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Muhammad Ali Khalidi (Ed.). (2023). Natural Kinds. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    William M. R. Simpson (Ed.). (2023). Hylomorphism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    George Stiny (Ed.) (2022). Shapes of Imagination: Calculating in Coleridge's Magical Realm. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    James Nguyen, & Roman Frigg (Eds.). (2022). Scientific Representation. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Marcel Weber (Ed.). (2022). Philosophy of Developmental Biology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Robert D. Montoya (Ed.) (2022). Power of Position: Classification and the Biodiversity Sciences. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Thomas Parr, Giovanni Pezzulo, Karl J. Friston (Eds.) (2022). Active Inference: The Free Energy Principle in Mind, Brain, and Behavior. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Markus Knauff, & Wolfgang Spohn (Eds.) (2021). The Handbook of Rationality. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Jonas Peters, Nicolai Meinshausen, Malte Meinshausen (Eds.) (2021). The Raven's Hat: Fallen Pictures, Rising Sequences, and Other Mathematical Games. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Rachel A. Ankeny, & Sabina Leonelli (Ed.). (2021). Model Organisms. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2021

    Tuomas E. Tahko (Ed.). (2021). Unity of Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2020

    Juan M. Durán, & Giorgia Pozzi (Eds.) (2020). Philosophy of Science for Machine Learning. Springer Cham.

    DOI PDF
    Open Access / Springer
  • 2020

    Yusuke Kubota, & Robert D. Levine (Eds.) (2020). Type-Logical Syntax. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2016

    Joseph Y. Halpern (Ed.) (2016). Actual Causality. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2016

    Tomaso A. Poggio, & Fabio Anselmi (Ed.) (2016). Visual Cortex and Deep Networks: Learning Invariant Representations. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2014

    Sanjoy Mahajan (Ed.) (2014). The Art of Insight in Science and Engineering: Mastering Complexity. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2012

    Robert E. Schapire, & Yoav Freund (Eds.) (2012). Boosting Foundations and Algorithms MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1994

    Idan Segev, John Rinzel, Gordon M. Shepherd (Eds.) (1994). The Theoretical Foundation of Dendritic Function: The Collected Papers of Wilfrid Rall with Commentaries. MIT Press.

    DOI PDF
    Open Access / MIT D20

Cognitive Science & Unified Theories

Foundational Works on Human Cognition.

  • 2026

    Jørgen S. Dokken, et al. (Eds.) (2026). Mathematical Modelling of the Human Brain II. Springer Cham.

    DOI PDF
    Open Access / Springer
  • 2026

    Peter Gärdenfors, & Matías Osta-Vélez (Eds.) (2026). Reasoning with Concepts: Conceptual Spaces as a Framework. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2025

    A Defence (Ed.). (2025). Knowledge-First Epistemology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Jan Baedke (Ed.). (2025). The Organism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Leonardo Bich (Ed.). (2025). Biological Organization. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Mirja Hartimo (Ed.). (2025). Husserl's Philosophy of Mathematical Practice. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Rory Madden (Ed.). (2025). Personal Identity and the Self. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Walter Glannon (Ed.) (2025). Neuroethics: The Implications of Mapping and Changing the Brain. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2024

    Finnur Dellsén (Ed.). (2024). Abductive Reasoning in Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Hanspeter A. Mallot (Ed.) (2024). From Geometry to Behavior: An Introduction to Spatial Cognition. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2024

    Hedda H. Mørch (Ed.). (2024). Non-physicalist Theories of Consciousness. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Frédérique de Vignemont (Ed.). (2023). Affective Bodily Awareness. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Grant Ramsey (Ed.). (2023). Huamn Nature. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Keith L. Downing (Ed.) (2023). Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Shaun Gallagher (Ed.). (2023). Embodied and Enactive Approaches to Cognition. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Luiz Pessoa (Ed.) (2022). The Entangled Brain: How Perception, Cognition, and Emotion Are Woven Together. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Angelo Cangelosi, & Minoru Asada (Eds.) (2022). Cognitive Robotics. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Thomas Parr, Giovanni Pezzulo, Karl J. Friston (Eds.) (2022). Active Inference: The Free Energy Principle in Mind, Brain, and Behavior. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Sebastian Löbner, et al. (Eds.) (2021). Concepts, Frames and Cascades in Semantics, Cognition and Ontology. Springer Cham.

    DOI PDF
    Open Access / Springer
  • 2021

    Marjorie McShane, & Sergei Nirenburg (Eds.) (2021). Linguistics for the Age of AI. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    Adrian Brasoveanu, & Jakub Dotlačil (Eds.) (2020). Computational Cognitive Modeling and Linguistic Theory. Springer Cham.

    DOI PDF
    Open Access / Springer
  • 2020

    Yusuke Kubota, & Robert D. Levine (Eds.) (2020). Type-Logical Syntax. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    David W. Lightfoot (Ed.) (2020). Born to Parse: How Children Select Their Languages. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2017

    Angela D. Friederici (Ed.) (2017). Language in Our Brain: The Origins of a Uniquely Human Capacity. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1991

    Steve Joshua Heims (Ed.) (1991). The Cybernetics Group. MIT Press.

    DOI PDF
    Open Access / MIT D20

Human-Machine Interaction

Foundational Works on Human-Machine Collaboration.

  • 2026

    Johanna Seibt, Raul Hakli, Marco Nørskov (Eds.) (2026). Robophilosophy: Philosophy of, for, and by Social Robotics. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    David J. Gunkel (Ed.) (2023). Person, Thing, Robot: A Moral and Legal Ontology for the 21st Century and Beyond. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    César A. Hildalgo, et al. (Eds.) (2021). How Humans Judge Machines. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    Edward Ashford Lee (Ed.) (2020). The Coevolution: The Entwined Futures of Humans and Machines. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2019

    Marvin Minsky, Xiao Xiao (by). Cynthia Solomon, Xiao Xiao (Edited by) (2019). Inventive Minds: Marvin Minsky on Education. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2011

    Rob Kitchin, & Martin Dodge (Eds.) (2011). Code/Space: Software and everyday Life. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1991

    Steve Joshua Heims (Ed.) (1991). The Cybernetics Group. MIT Press.

    DOI PDF
    Open Access / MIT D20

Human-AI Interaction

Visionary Works on Human-AI Symbiosis.

  • 2026

    Johanna Seibt, Raul Hakli, Marco Nørskov (Eds.) (2026). Robophilosophy: Philosophy of, for, and by Social Robotics. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    David J. Gunkel (Ed.) (2023). Person, Thing, Robot: A Moral and Legal Ontology for the 21st Century and Beyond. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Grant Ramsey (Ed.). (2023). Huamn Nature. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2021

    César A. Hildalgo, et al. (Eds.) (2021). How Humans Judge Machines. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    Edward Ashford Lee (Ed.) (2020). The Coevolution: The Entwined Futures of Humans and Machines. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1991

    Steve Joshua Heims (Ed.) (1991). The Cybernetics Group. MIT Press.

    DOI PDF
    Open Access / MIT D20

Network Science

Mathematical Foundations of Complex Systems.

  • 2026

    Kai Niu, & Ping Zhang (Eds.) (2026). The Mathematical Theory of Semantic Communication. Springer Singapore.

    DOI PDF
    Open Access / Springer
  • 2024

    Marie T. Banich, Suzanne N. Haber, Trevor W. Robbins (Eds.) (2024). The Frontal Cortex: Organization, Networks, and Function. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    John M. Beggs (Ed.) (2022). The Cortex and the Critical Point: Understanding the Power of Emergence. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2017

    Angela D. Friederici (Ed.) (2017). Language in Our Brain: The Origins of a Uniquely Human Capacity. MIT Press.

    DOI PDF
    Open Access / MIT D20

Systems Science

Complex Adaptive Systems and Emergence.

  • 2026

    Tadahiro Taniguchi (Ed.) (2026). Symbol Emergence Systems. Springer Singapore.

    DOI PDF
    Open Access / Springer
  • 2025

    Leonardo Bich (Ed.). (2025). Biological Organization. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Jan Baedke (Ed.). (2025). The Organism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Lauren N. Ross (Ed.). (2025). Explanation in Biology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Thomas A. C. Reydon (Ed.). (2025). The Scope of Evolutionary Thinking. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Alan C. Love (Ed.). (2024). Evolution and Development: Conceptual Issues. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Hedda H. Mørch (Ed.). (2024). Non-physicalist Theories of Consciousness. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Alison K. McConwell (Ed.). (2023). Biological Individuality. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Frédérique de Vignemont (Ed.). (2023). Affective Bodily Awareness. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Grant Ramsey (Ed.). (2023). Huamn Nature. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Shaun Gallagher (Ed.). (2023). Embodied and Enactive Approaches to Cognition. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    William M. R. Simpson (Ed.). (2023). Hylomorphism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    John M. Beggs (Ed.) (2022). The Cortex and the Critical Point: Understanding the Power of Emergence. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Marcel Weber (Ed.). (2022). Philosophy of Developmental Biology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Thomas Parr, Giovanni Pezzulo, Karl J. Friston (Eds.) (2022). Active Inference: The Free Energy Principle in Mind, Brain, and Behavior. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    David W. Lightfoot (Ed.) (2020). Born to Parse: How Children Select Their Languages. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    Edward Ashford Lee (Ed.) (2020). The Coevolution: The Entwined Futures of Humans and Machines. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2017

    Angela D. Friederici (Ed.) (2017). Language in Our Brain: The Origins of a Uniquely Human Capacity. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2016

    Joseph Y. Halpern (Ed.) (2016). Actual Causality. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2014

    Pelle Ehn, Elisabeth M. Nilsson, Richard Topgaard (Eds.) (2014). Making Futures: Marginal Notes on Innovation, Design, and Democracy. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2011

    Rob Kitchin, & Martin Dodge (Eds.) (2011). Code/Space: Software and everyday Life. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1991

    Steve Joshua Heims (Ed.) (1991). The Cybernetics Group. MIT Press.

    DOI PDF
    Open Access / MIT D20

Graph Topology

Geometric and Topological Analysis of Knowledge.

  • 2025

    Lauren N. Ross (Ed.). (2025). Explanation in Biology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Daniel Rosiak (Ed.) (2022). Sheaf Theory through Examples. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    George Stiny (Ed.) (2022). Shapes of Imagination: Calculating in Coleridge's Magical Realm. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Marcel Weber (Ed.). (2022). Philosophy of Developmental Biology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2021

    Jonas Peters, Nicolai Meinshausen, Malte Meinshausen (Eds.) (2021). The Raven's Hat: Fallen Pictures, Rising Sequences, and Other Mathematical Games. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2016

    Joseph Y. Halpern (Ed.) (2016). Actual Causality. MIT Press.

    DOI PDF
    Open Access / MIT D20

Data Science

Methods and applications for analyzing and visualizing scientific knowledge, aligning with MLKN.lab’s data-driven approach.

  • 2026

    Dana Tulodziecki (Ed.). (2026). Underdetermination and Theoretical Virtues. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Siu-Cheung Kong, Harold Abelson (Eds.) (2022). Computational Thinking Education in K–12: Artificial Intelligence Literacy and Physical Computing. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Andrea L. Berez-Kroeker, et al. (Eds.) (2022). The Open Handbook of Linguistic Data Management. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2018

    Albert Bifet, et al. (Eds.) (2018). Machine Learning for Data Streams: with Practical Examples in MOA. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2014

    Sanjoy Mahajan (Ed.) (2014). The Art of Insight in Science and Engineering: Mastering Complexity. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2012

    Robert E. Schapire, & Yoav Freund (Eds.) (2012). Boosting Foundations and Algorithms MIT Press.

    DOI PDF
    Open Access / MIT D20

Multi-Layer Networks

Mathematical Foundations and Applications of Multilayer Networks.

  • 2024

    Marie T. Banich, Suzanne N. Haber, Trevor W. Robbins (Eds.) (2024). The Frontal Cortex: Organization, Networks, and Function. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Daniel Rosiak (Ed.) (2022). Sheaf Theory through Examples. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2017

    Angela D. Friederici (Ed.) (2017). Language in Our Brain: The Origins of a Uniquely Human Capacity. MIT Press.

    DOI PDF
    Open Access / MIT D20

Hypergraphs

Mathematical Foundations and Applications of Hypergraphs.

  • 2023

    Alison K. McConwell (Ed.). (2023). Biological Individuality. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Daniel Rosiak (Ed.) (2022). Sheaf Theory through Examples. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2018

    Albert Bifet, et al. (Eds.) (2018). Machine Learning for Data Streams: with Practical Examples in MOA. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2012

    Robert E. Schapire, & Yoav Freund (Eds.) (2012). Boosting Foundations and Algorithms MIT Press.

    DOI PDF
    Open Access / MIT D20

Interdisciplinarity

Bridging Disciplines and Knowledge Systems.

  • 2026

    Francesco Nappo, & Giovanni Valente (Eds.). (2026). Analogical Reasoning in Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Jan Baedke (Ed.). (2025). The Organism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Thomas A. C. Reydon (Ed.). (2025). The Scope of Evolutionary Thinking. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Alan C. Love (Ed.). (2024). Evolution and Development: Conceptual Issues. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    M. Chirimuuta (Ed.) (2024). The Brain Abstracted: Simplification in the History and Philosophy of Neuroscience. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Nancy J. Nersessian (Ed.) (2022). Interdisciplinarity in the Making: Models and Methods in Frontier Science. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    George Stiny (Ed.) (2022). Shapes of Imagination: Calculating in Coleridge's Magical Realm. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2014

    Sanjoy Mahajan (Ed.) (2014). The Art of Insight in Science and Engineering: Mastering Complexity. MIT Press.

    DOI PDF
    Open Access / MIT D20

Semantic Web

Structured Knowledge Representation and Linked Data.

  • 2025

    Ben Martin (Ed.). (2025). The Epistemology of Logic. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Muhammad Ali Khalidi (Ed.). (2023). Natural Kinds. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2021

    Marjorie McShane, & Sergei Nirenburg (Eds.) (2021). Linguistics for the Age of AI. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    Antonio Pareja-Lora, et al. (Eds.) (2020). Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2017

    Angela D. Friederici (Ed.) (2017). Language in Our Brain: The Origins of a Uniquely Human Capacity. MIT Press.

    DOI PDF
    Open Access / MIT D20

Collective Intelligence

How Knowledge Emerges from Communities.

  • 2026

    Johanna Seibt, Raul Hakli, Marco Nørskov (Eds.) (2026). Robophilosophy: Philosophy of, for, and by Social Robotics. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2025

    A Defence (Ed.). (2025). Knowledge-First Epistemology. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Thomas A. C. Reydon (Ed.). (2025). The Scope of Evolutionary Thinking. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Sabina Leonelli (Ed.). (2023). Philosophy of Open Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2021

    Markus Knauff, & Wolfgang Spohn (Eds.) (2021). The Handbook of Rationality. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Jonas Peters, Nicolai Meinshausen, Malte Meinshausen (Eds.) (2021). The Raven's Hat: Fallen Pictures, Rising Sequences, and Other Mathematical Games. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    César A. Hildalgo, et al. (Eds.) (2021). How Humans Judge Machines. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Tuomas E. Tahko (Ed.). (2021). Unity of Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2018

    Joe Karaganis (Ed.) (2018). Shadow Libraries: Access to Knowledge in Global Higher Education. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2014

    Pelle Ehn, Elisabeth M. Nilsson, Richard Topgaard (Eds.) (2014). Making Futures: Marginal Notes on Innovation, Design, and Democracy. MIT Press.

    DOI PDF
    Open Access / MIT D20

Knowledge Infrastructure

Platforms and Projects for Open Knowledge.

  • 2022

    Andrea L. Berez-Kroeker, et al. (Eds.) (2022). The Open Handbook of Linguistic Data Management. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Robert D. Montoya (Ed.) (2022). Power of Position: Classification and the Biodiversity Sciences. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2021

    Rachel A. Ankeny, & Sabina Leonelli (Ed.). (2021). Model Organisms. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2020

    Antonio Pareja-Lora, et al. (Eds.) (2020). Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2018

    Joe Karaganis (Ed.) (2018). Shadow Libraries: Access to Knowledge in Global Higher Education. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2012

    Peter Suber (Ed.) (2012). Open Access. MIT Press.

    DOI PDF
    Open Access / MIT D20

OpenAlex Studies

Research using, evaluating, and analyzing OpenAlex.

    ...

OpenAlex & Research Policy Communications

OpenAlex Data Source, Institutional Endorsements of OpenAlex, Research Policy for Open Science Categories.


MLKN.lab is built on open data sources like OpenAlex, aligning with global movements toward open science, transparency, and research sovereignty. Below are key references on OpenAlex and institutional policies supporting this transition.


  • 2024

    Neil Levy (Ed.). (2024). Philosophy, Bullshit, and Peer Review. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Sabina Leonelli (Ed.). (2023). Philosophy of Open Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    Andrea L. Berez-Kroeker, et al. (Eds.) (2022). The Open Handbook of Linguistic Data Management. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Robert D. Montoya (Ed.) (2022). Power of Position: Classification and the Biodiversity Sciences. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2018

    Joe Karaganis (Ed.) (2018). Shadow Libraries: Access to Knowledge in Global Higher Education. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2016

    Peter Suber (Ed.) (2016). Knowledge Unbound: Selected Writings on Open Access, 2002–2011. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2012

    Peter Suber (Ed.) (2012). Open Access. MIT Press.

    DOI PDF
    Open Access / MIT D20

LLMs as Knowledge Graphs / Ontological Processors

Unifying Language Models and Structured Knowledge.

  • 2020

    Antonio Pareja-Lora, et al. (Eds.) (2020). Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences. MIT Press.

    DOI PDF
    Open Access / MIT D20

Graph Neural Networks & Geometric Deep Learning

Modern Graph-Based Machine Learning.

  • 2026

    Francesco Nappo, & Giovanni Valente (Eds.). (2026). Analogical Reasoning in Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Marc G. Bellemare, Will Dabney, Mark Rowland (Eds.) (2023). Distributional Reinformcement Learning. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Keith L. Downing (Ed.) (2023). Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2016

    Tomaso A. Poggio, & Fabio Anselmi (Ed.) (2016). Visual Cortex and Deep Networks: Learning Invariant Representations. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1994

    Idan Segev, John Rinzel, Gordon M. Shepherd (Eds.) (1994). The Theoretical Foundation of Dendritic Function: The Collected Papers of Wilfrid Rall with Commentaries. MIT Press.

    DOI PDF
    Open Access / MIT D20

Grand Research Projects

Inspirations from Global Knowledge Initiatives.

  • 2020

    Amunts, K., et al. (2019). The Human Brain Project: A roadmap for a European research infrastructure to decode the human brain. Neuron, 103(2), 219–234.

    DOI PDF
  • 2022

    Bauer, P., et al. (2021). Destination Earth: A new vision for a digital twin of the Earth. Nature Computational Science, 1, 26–28.

    DOI
  • 2014

    Goertzel, B., et al. (2014). OpenCog: A software framework for integrative artificial general intelligence. Journal of Artificial General Intelligence, 5(2), 1–24.

    DOI
  • 2014

    Hawrylycz, M. J., et al. (2012). An anatomically comprehensive atlas of the adult human brain transcriptome. Nature, 489(7416), 391–399.

    DOI
  • 2023

    Touvron, H., et al. (2023). LLaMA: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971.

    arXiv PDF

Extended References (Long-Term Vision)

Works supporting MLKN.lab's broader scientific and cognitive goals.


Attention Models

  • 2011

    Carrasco, M. (2011). Visual Attention: The Past 25 Years. Vision Research, 51(13), 1484–1525.

    DOI
  • 1990

    Bundesen, C. (1990). A theory of visual attention. Psychological Review, 97(4), 523–547.

    DOI
  • 2000

    Itti, L., & Koch, C. (2000). Computational modelling of visual attention. Nature Reviews Neuroscience, 2(3), 194–203.

    DOI
  • 1990

    Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13, 25–42.

    DOI
  • 2003

    Treue, S. (2003). Neural Basis of Attention. Current Opinion in Neurobiology, 13(2), 208–213.

    DOI

Neurosymbolic AI

  • 2025

    Ben Martin (Ed.). (2025). The Epistemology of Logic. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Finnur Dellsén (Ed.). (2024). Abductive Reasoning in Science. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Elaine Landry (Ed.). (2023). Plato Was Not a Mathematical Platonist. MIT Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    William M. R. Simpson (Ed.). (2023). Hylomorphism. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2020

    Yusuke Kubota, & Robert D. Levine (Eds.) (2020). Type-Logical Syntax. MIT Press.

    DOI PDF
    Open Access / MIT D20

Dynamic Knowledge Graphs

  • 2018

    Albert Bifet, et al. (Eds.) (2018). Machine Learning for Data Streams: with Practical Examples in MOA. MIT Press.

    DOI PDF
    Open Access / MIT D20

Neurocognitive Architectures

  • 2025

    Leonardo Bich (Ed.). (2025). Biological Organization. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2025

    Rory Madden (Ed.). (2025). Personal Identity and the Self. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Alan C. Love (Ed.). (2024). Evolution and Development: Conceptual Issues. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Hedda H. Mørch (Ed.). (2024). Non-physicalist Theories of Consciousness. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2024

    Marie T. Banich, Suzanne N. Haber, Trevor W. Robbins (Eds.) (2024). The Frontal Cortex: Organization, Networks, and Function. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2024

    Hanspeter A. Mallot (Ed.) (2024). From Geometry to Behavior: An Introduction to Spatial Cognition. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Frédérique de Vignemont (Ed.). (2023). Affective Bodily Awareness. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2023

    Marc G. Bellemare, Will Dabney, Mark Rowland (Eds.) (2023). Distributional Reinformcement Learning. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Keith L. Downing (Ed.) (2023). Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2023

    Shaun Gallagher (Ed.). (2023). Embodied and Enactive Approaches to Cognition. Cambridge University Press.

    DOI PDF
    Open Access / Cambridge Core
  • 2022

    John M. Beggs (Ed.) (2022). The Cortex and the Critical Point: Understanding the Power of Emergence. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2022

    Thomas Parr, Giovanni Pezzulo, Karl J. Friston (Eds.) (2022). Active Inference: The Free Energy Principle in Mind, Brain, and Behavior. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2020

    David W. Lightfoot (Ed.) (2020). Born to Parse: How Children Select Their Languages. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2017

    Angela D. Friederici (Ed.) (2017). Language in Our Brain: The Origins of a Uniquely Human Capacity. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 2016

    Tomaso A. Poggio, & Fabio Anselmi (Ed.) (2016). Visual Cortex and Deep Networks: Learning Invariant Representations. MIT Press.

    DOI PDF
    Open Access / MIT D20
  • 1994

    Idan Segev, John Rinzel, Gordon M. Shepherd (Eds.) (1994). The Theoretical Foundation of Dendritic Function: The Collected Papers of Wilfrid Rall with Commentaries. MIT Press.

    DOI PDF
    Open Access / MIT D20