Awesome List Updates on Jul 23, 2022

8 awesome lists updated today.

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1. Awesome Php

Table of Contents / Strings

• Portable ASCII (⭐507) - A library to convert strings to ASCII.

2. GoBooks

2021 - Practical Go: Building Scalable Network and Non-Network Applications / Why does this book look so different?

• Writing command line applications

• Writing a HTTP services and clients

• Writing RPC services and clients using gRPC

• Writing middleware for network clients and servers

• Storing data in cloud object stores and SQL databases

• Testing your applications using idiomatic techniques

• Adding observability to your applications

• Managing configuration data from your applications

3. Awesome Testing

Software / Make your life easier

• test-each (⭐110) - Repeats tests using different inputs (Data-Driven Testing).

4. Awesome Neovim

Tree-sitter Supported Colorscheme / Diagnostics

• lewpoly/sherbet.nvim (⭐72) - A soothing colorscheme with support for popular plugins and tree-sitter.

5. Awesome Svelte

UI Libraries

• ionic-svelte (⭐750) - Svelte integration with Ionic's UI for mobile app development, including many starters.

6. Awesome Vala

Apps / Productivity

• GNOME Calculator - The calculator app for the GNOME desktop.

• pdfpc (⭐1.4k) - A GTK presenter application with multi-monitor support for PDF files.

Libraries / Command-line

• console-command (⭐1) - Library to route command-line arguments to a Command pattern object, current implementation covers extension by inheritance or using closures.

Libraries / Data Structures & Data Types

• Libgee - A utility library providing GObject-based interfaces and classes for commonly used data structures (lists, maps, queues, trees, etc.).

7. Awesome List

Theory

• AGI & CoCoSci (⭐271) - The reciprocation of Artificial General Intelligence (AGI) and Computational Cognitive Sciences (CoCoSci).

8. Awesome Agi Cocosci

Cognitive Development / Commonsense Knowledgebase

• Reconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory - Psychological Bulletin, 2012. [All Versions]. Alison Gopnik's review on the constructivism idea of developmental research.

• Machine Common Sense Concept Paper - DARPA, 2018. [All Versions]. DARPA's perspective on integrating core knowledge from development psychology into machine intelligence systems.

• Cognitive Development - Wikipedia.

• Towards a rational constructivist theory of cognitive development - Psychological Review, 2019. [All Versions]. Fei Xu's review extending Gopnik's view of constructivism, with the rationality as constraint.

• The origins of inquiry: inductive inference and exploration in early childhood - Trends in Cognitive Sciences, 2012. [All Versions]. Laura Schulz's review on children's exploratory play.

• Play, Curiosity, and Cognition - Annual Review of Developmental Psychology, 2020. [All Versions]. Laura Schulz's review on children's exploratory play, which proposes a new perspective on exploratory play to explain the emergence of irrational behaviors in play.

Domain Specific Language / Imperative DSL Applications

• Biocoder: A programming language for standardizing and automating biology protocols - Journal of Biological Engineering, 2010. [All Versions]. [Project (⭐1)]. [Microsoft Page] This paper introduces BioCoder, a C++ library that enables biologists to express the exact steps needed to execute a protocol. In addition to being suitable for automation, BioCoder converts the code into a readable, English-language description for use by biologists.

Domain Specific Language / Logic DSL Applications

• Situation Calculus - Wikipedia. Wikipedia on Situation Calculus, a logic formalism designed for representing and reasoning about dynamical domains.

• Answer Set Programming - ICLPNR'99, 1999. [All Versions]. The original paper on Answer Set Programming (ASP), a form of declarative programming oriented towards difficult search problems, on the use of nonmonotonic reasoning in knowledge representation.

• Action Languages, Answer Sets, and Planning - The Logic Programming Paradigms, 1999. [All Versions].

• Qualitative Simulation - Artificial Intelligence, 1986. [All Versions]. Benjamin Kuipers' original paper on qualitative reasoning.

• Qualitative Reasoning: Modeling and Simulation with Incomplete Knowledge - MIT Press, 1994. [All Versions]. Benjamin Kuipers' comprehensive book on qualitative reasoning.

Problem Solving / Human-Level Problem Solving

• Learning to act by integrating mental simulations and physical experiments - CogSci'18, 2018. [All Versions]. [Code (⭐1)].

Problem Solving / Planning

• Discovering State and Action Abstractions for Generalized Task and Motion Planning - AAAI'22, 2022. [All Versions].

Problem Solving / Intrinsic Motivation

• Intrinsic Exploration as Empowerment in a Richly Structured Online Game - 2022. [All Versions].

• Multi-task reinforcement learning in humans - Nature Human Behavior, 2021. [All Versions].

Problem Solving / Inverse Reinforcement Learning

• Bayesian Inverse Reinforcement Learning - IJCAI'07, 2007. [All Versions]. A Bayesian account on classic inverse reinforcement learning.

System 1 & System 2 / Dual-Coding Theory

• Mental Representations: A Dual Coding Approach - Oxford University Press, 1990. [All Versions]. The original book on dual coding theory, in the neuroscience account of mental representation.

• Dual coding of knowledge in the human brain - Trends in Cognitive Sciences, 2021. [All Versions]. Yanchao Bi's review on neuroscience experiments on dual coding theory.

• Two Forms of Knowledge Representations in the Human Brain - Neuron, 2020. [All Versions]. Illustrating language-derived and sensory-derived knowledge.

System 1 & System 2 / Neural-Symbolic AI

• Regression Analysis for Interval-Valued Data - Data Analysis, Classification, and Related Methods, 2000. [All Versions]. The original paper on symbolic regression.

• Symbolic data analysis: what is it? - Proceedings in Computational Statistics, 2006. [All Versions].

• DeepProbLog: Neural Probabilistic Logic Programming - NeurIPS'18, 2018. [All Versions]. The original paper on neuro-symbolic probabilistic programming.

• Learning Explanatory Rules from Noisy Data - Journal of Artificial Intelligence Research, 2018. [All Versions]. The original paper for differential Inductive Logic Programming.

• Learning by Abstraction: The Neural State Machine - NeurIPS'19, 2019. [All Versions].

• AI Feynman: A physics-inspired method for symbolic regression - Science Advances, 2019. [All Versions]. A general approach for neuro-symbolic formula synthesis.

• Neural Production Systems - ICML'21, 2021. [All Versions]. Yoshua Bengio's perspective on slot attention model as a general production system.

Explainability / Trustworthy AI

• A tale of two explanations: Enhancing human trust by explaining robot behavior - Science Robotics, 2019. [All Versions]. The original paper on human believable robot, a result of the DAPAR-XAI.

• X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust - 2019. [All Versions]. Introducing the idea of AI estimating human users' knowledge in to explainable AI.

Explainability / Strong Machine Learning

• Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP - Machine Learning, 2018. [All Versions]. Stephen Muggleton's account of ultra-strong machine learning, which not only learns human understandable knowledge, but also improves human performance on the corresponding tasks.

• NBDT: Neural-Backed Decision Trees - NeurIPS'20, 2020. [All Versions]. [Code (⭐603)]. Expliciting the decision process of a decision tree through neural networks.

Explainability / Explainable Deep Learning

• Network dissection: Quantifying interpretability of deep visual representations - CVPR'17, 2017. [All Versions]. [Project]. [Dataset: Places365]. The original paper on visualizing the class activation maps to explain convolutional neural networks.

• Understanding the role of Individual Units in a Deep Neural Network - Proceedings of the National Academy of Sciences, 2020. [All Versions]. David Bau's review on network dissection for discriminative and generative models.

• Zoom In: An Introduction to Circuits - Distill, 2020. [All Versions]. A perspective on treating neural networks as circuits.

• Compositional Explanations of Neurons - NeurIPS'20, 2020. [All Versions]. [Project (⭐24)]. A concept-composition version of network dissection.

• Noise or Signal: The Role of Backgrounds in Image Classification - ICLR'21, 2021. [All Versions]. [Code & Data (⭐133)]. [Project]. A perspective on image background provides strong clue for foreground classification.

• Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation - NeurIPS'18, 2018. [All Versions]. Maching the learned pattern of neurons in different neural networks.

Embodied Intelligence / Explainable Deep Learning

• Embodied Cognition - Plato Stanford. A computational philosophy account on Embodied Cognition, which emphasizes the significance of an agent's physical body in cognitive abilities.

• Externalism About the Mind - Plato Stanford. A computational philosophy account on mind externalism, a long-term debate about the boundary of embodied intelligence.

• Cognitive engineering: Human problem solving with tools - Human Factors, 1988. [All Versions]. The original idea of investigating huamn tool use in problem solving.

• Tools, language and cognition in human evolution - Cambridge University Press, 1993. [All Versions]. A classic perspective correlating human tool use with the evolution of civilization.

• The Extended Mind - Analysis, 1998. [All Versions]. The original paper on the debate of mind externalism.

• The neural bases of complex tool use in humans - Trends in Cognitive Sciences, 2004. [All Versions]. A neuroscience account of human tool use.

• Spontaneous Metatool Use by New Caledonian Crows - Current Biology, 2007. [All Versions]. A piece of evidence that intelligent animals can take advantage of matatools to make tools for problem solving.

• Tool use and affordance: Manipulation-based versus reasoning-based approaches - Psychological Review, 2016. [All Versions]. A classic review on human tool use and affordance.

• Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition - CVPR'15, 2015. [All Versions]. [Project]. The original paper introducing affordance and physically-grounded tool use into computer vision.

Evolutionary Intelligence / Explainable Deep Learning

• Evolutionary trade-offs, Pareto optimality, and the geometry of phenotype space - Science, 2012. [All Versions]. A classic paper correlating biological trade-offs with the evolution of pareto optimality.

• Pareto optimality in multiobjective problems - Applied Mathematics and Optimization, 1977. [All Versions]. The original paper on the pareto optimality in multiobjective problems.

• Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies - IEEE Transactions on Systems, Man, and Cybernetics, 2008. [All Versions]. A comprehensive review on the application of pareto optimality to multiobjective machine learning.

Causality / AI Assisted Research

• Identification of Causal Effects Using Instrumental Variables - Journal of the American Statistical Association, 1996. [All Versions].

• Causality - Wikipedia. Wikipedia on causality, which is influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is partly responsible for the effect, and the effect is partly dependent on the cause.

• Causal Models - Plato Stanford. A computational philosophy account on Causal models, which are mathematical models representing causal relationships within an individual system or population.

• Causal Theories of Mental Content - Plato Stanford. A computational philosophy account on causal theories of mental content, which attempts to explain how thoughts can be about things.

• The Seven Tools of Causal Inference, with Reflections on Machine Learning - Communications of the ACM, 2019. [All Versions]. Judea Pearl's review on causal inference in probabilistic graph models.

• Toward Causal Representation Learning - Proceedings of the IEEE, 2021. [All Versions]. Yoshua Bengio's review on the perspective of treating causal inference as a representation learning problem.

• Theory-Based Causal Induction - Psychological Review, 2009. [All Versions]. Thomas Griffiths' review on causal Bayesian theory induction.

• Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning - AAAI'20, 2020. [All Versions]. A computatinoal account on causal transfer.

• Causal Reasoning in Rats - Science, 2006. [All Versions]. A piece of evidence for the capability of causal reasoning in intelligent animals.

• Do New Caledonian crows solve physical problems through causal reasoning? - Proceedings of the Royal Society B: Biological Sciences, 2009. [All Versions]. A piece of evidence for the capability of causal reasoning in intelligent animals.

Methodologies for Experiments / Quantitative Analysis

• Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power - Annual Review of Psychology, 2017. [All Versions]. A comprehensive review of the quantitative analysis techniques for behavioral studies.

Methodologies for Experiments / Scaling Up Behavioral Studies

• Scaling up psychology via Scientific Regret Minimization - Proceedings of the National Academy of Sciences, 2020. [All Versions]. The statistical and ecological basis for scaling up behavioral studies.

• Using large-scale experiments and machine learning to discover theories of human decision-making - Science, 2021. [All Versions]. A piece of evidence for the merits brought by large-scale behavioral studies in social science.

• Visual Search at Pinterest - KDD'15, 2015. [All Versions]. Large scale user study in the development of the recommendations system by Pinterest.

Methodologies for Experiments / Question Answering

• Searching large hypothesis spaces by asking questions - CogSci'16, 2016. [All Versions]. A behavioral study for the 20 questions game.

• Asking and evaluating natural language questions - CogSci'16, 2016. [All Versions]. A behavioral study for the battleship game.

Methodologies for Experiments / Human-Machine Comparison

• Elimination by aspects: A theory of choice - Psychological Review, 1972. [All Versions]. Herbert Simon's early experiments on computer aided behavioral studies.

Methodologies for Experiments / Virtual Reality

• Virtual reality in behavioral neuroscience and beyond - Nature Neuroscience, 2002. [All Versions]. A classic review on the early applications of Virtual Reality to behavioral studies.

• The psychology of virtual reality - The psychology of technology: Social science research in the age of Big Data (pp. 155–193), American Psychological Association, 2022. [All Versions]. Jeremy Bailenson's review on the applications of Virtual Reality to behavioral studies.

Meta-Level Considerations / Meta Learning

• Automated Reinforcement Learning (AutoRL): A Survey and Open Problems - 2022. [All Versions]. A comprehensive review on AutoRL.

• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks - ICML'17, 2017. [All Versions]. [Post]. Chelsea Finn's original paper on Model-Agnostic Meta-Learning (MAML).

• Bayesian Model-Agnostic Meta-Learning - NeurIPS'18, 2018. [All Versions]. A Bayesian account on MAML.

David Marr / Commonsense Knowledgebase

• Vision: A Computational Investigation into the Human Representation and Processing of Visual Information - MIT Press, 1982. [All Versions].

Meta-Level Considerations / Marr's Levels of Analysis

• Bridging Levels of Analysis for Probabilistic Models of Cognition - Current Directions in Psychological Science, 2012. [All Versions]. A Marr's paradigm account on probabilistic models.

• Levels of Analysis in Computational Social Science - CogSci'18, 2018. [All Versions]. A Marr's paradigm account on computational social science.

• Levels of Analysis for Machine Learning - ICLR'20 Bridging AI and Cognitive Science Workshop, 2020. [All Versions]. A Marr's paradigm account on machine learning.

Meta-Level Considerations / Gestalt

• Gestalt theory - A source book of Gestalt psychology, 1938. [All Versions]. The original book on Gestalt psychology.

• Gestalt Psychology - Psychologische Forschung, 1967. [All Versions]. Wolfgang Köhler's review on Gestalt psychology.

• Deep Learning: How the Mind Overrides Experience - Cambridge University Press, 2011. [All Versions].

Meta-Level Considerations / Rationality

• Bounded Rationality - Plato Stanford. A computational philosophy account on Bounded Rationality, an elementary hypothesis of human intelligence in psychology and ecology.

• Instrumental Rationality - Plato Stanford. A computational philosophy account on Instrumental Rationality, a dabate on whether an agent's decision is made intentionally or out of rational coherence.

• Computational rationality: A converging paradigm for intelligence in brains, minds, and machines - Science, 2015. [All Versions]. A comprehensive review on the rationality of Bayesian computational models.

• Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources - Behavioral and Brain Sciences, 2020. [All Versions]. A resource-rational account on interpreting human intelligence.

Meta-Level Considerations / Cognitive Architecture

• The secret life of predictive brains: what's spontaneous activity for? - Trends in Cognitive Sciences, 2021. [All Versions]. A neuroscience account on brain as a generative model.

• Is human cognition adaptive? - Behavioral and Brain Sciences, 1991. [All Versions]. The original paper introducing the adaptation perspective of human intelligence, the theoretical basis of the ACT cognitive architecture.

• What is consciousness, and could machines have it? - Science, 2017. [All Versions]. A perspective on the two levels of consciousness in machine intelligence.

Theory of Mind / AI Assisted Research

• Theory of Mind - Wikipedia. Wikipedia on Theory of Mind (ToM), a cognitive capability that estimating others' goal, belief, and desire.

• Action Understanding as Inverse Planning - Cognition, 2009. [All Versions]. [Appendix]. The original paper on Inverse Planning, a computational implementation of ToM.

• Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution - CogSci'11, 2011. [All Versions].

• Bayesian Theory of Mind : modeling human reasoning about beliefs, desires, goals, and social relations - MIT, 2012. [All Versions]. Chris Baker's Ph.D. dissertation, a comprehensive review on Bayesian modeling of Theory of Mind.

• Bayesian Brains without Probabilities - Trends in Cognitive Sciences, 2016. [All Versions]. A perspective on human probabilistic modeling without explicit probabilistic computation.

• AGENT: A Benchmark for Core Psychological Reasoning - ICML'21, 2021. [All Versions]. A benchmark for AI that modeling the core knowledge of ToM.

• Experimental Games and Social Decision Making - Annual Review of Psychology, 2021. [All Versions]. A comprehensive review on social ToM experiment pafadigms.

• Theory of Minds: Understanding Behavior in Groups through Inverse Planning - AAAI'19, 2019. [All Versions]. Inverse Planning in multi-agent setting.

• Using human brain activity to guide machine learning - Scientific Report, 2018. [All Versions].

• Learning Triadic Belief Dynamics in Nonverbal Communication from Videos - CVPR'21, 2021. [All Versions]. Theory of Mind in the perception level, introduced as a computer vision task.

• Ten-month-old infants infer the value of goals from the costs of actions - Science, 2017. [All Versions]. A piece of evidence for children's capability on ToM.

• Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others - NeurIPS'21, 2021. [All Versions].

• Intentonomy: a Dataset and Study towards Human Intent Understanding - CVPR'21, 2021. [All Versions]. A large-scale database on human intentionally-posted images on social media.

• Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics - CogSci'20, 2020. [All Versions].

Analogy / AI Assisted Research

• Metaphor - Plato Stanford. A computational philosophy account on Metaphor, a poetically or rhetorically ambitious use of words, a figurative as opposed to literal use.

• Analogy and Analogical Reasoning - Plato Stanford. A computational philosophy account on Analogy, a comparison between two objects, or systems of objects, that highlights respects in which they are thought to be similar.

• A Cognitive Theory of Metaphor - MIT Press, 1985. [All Versions]. A cognitive account on Metaphor.

• The structure-mapping engine: Algorithm and examples - Artificial Intelligence, 1989. [All Versions]. A computational implementation of analogy.

• Structure mapping in analogy and similarity - American Psychologist, 1997. [All Versions]. A perspective unifying analogy and similarity judgement.

• A theory of relation learning and cross-domain generalization - Psychological Review, 2022. [All Versions]. A comprehensive review on the perspective of treating analogy as cross-domain generalization.

• Emergence of analogy from relation learning - Proceedings of the National Academy of Sciences, 2019. [All Versions]. Analogy feature in language models.

• Analogies Explained: Towards Understanding Word Embeddings - ICML'19, 2019. [All Versions]. Explaining the analogy capability in word embeddings.

• Analogy-preserving Semantic Embedding for Visual Object Categorization - ICML'13, 2013. [All Versions]. The first application of analogy to machine learning.

• Analogy between concepts - Artificial Intelligence, 2019. [All Versions]. A mathematical account on analogy.

• Preschoolers and adults make inferences from novel metaphors - CogSci'22, 2022. [All Versions]. A piece of evidence that understanding metaphors is capable for different cognitive development phases.

Commonsense / Intuitive Physics

• Intuitive Physics: Current Research and Controversies - Trends in Cognitive Sciences, 2018. [All Versions]. Hongjing Lu's review on intuitive physics.

• Simulation as an engine of physical scene understanding - Proceedings of the National Academy of Sciences, 2013. [All Versions]. [Appendix]. The first attempt to computationally simulate intuitive physics.

• Functional neuroanatomy of intuitive physical inference - Proceedings of the National Academy of Sciences, 2016. [All Versions]. A piece of evidence for the functional part of intuitive physics in human brain.

• Mind Games: Game Engines as an Architecture for Intuitive Physics - Trends in Cognitive Sciences, 2017. [All Versions]. Tomer Ullman's review on simulation-based intuitive physics.

• Limits on Simulation Approaches in Intuitive Physics - Cognitive Psychology, 2021. [All Versions]. Ernest Davis's perspective against intuitive physics, that physcial reasoning is logical reasoning instead of intuition.

Commonsense / AI Commonsense Reasoning

• Representations of Commonsense Knowledge - Morgan Kaufmann, 1990. [All Versions]. A classic book on commonsense knowledge.

• Towards a theory of commonsense visual reasoning - FSTTCS, 1990. [All Versions]. The original paper on visual commonsense.

• Commonsense reasoning and commonsense knowledge in artificial intelligence - Communications of the ACM, 2015. [All Versions]. Gary Marcus's review on commonsense knowledge in AI.

• Abductive Commonsense Reasoning - ICLR'20, 2020. [All Versions]. Abductive commonsense reasoning on large language models.

• Experience Grounds Language - EMNLP'20, 2020. [All Versions]. A perspective on the furture of computational linguistics research---commonsense-driven and embodied language.

Commonsense / Commonsense Knowledgebase

• CYC: A Large-Scale Investment in Knowledge Infrastructure - Communications of the ACM, 1995. [All Versions]. The first attempt to build large-scale commonse knoweldgebase from human knowledge.

• The Public Acquisition of Commonsense Knowledge - Proceedings of AAAI Spring Symposium on Acquiring (and Using) Linguistic (and World) Knowledge for Information Access, 2002. [All Versions]. The first attempt for acquring commonsense knowlege from humans' activities on the internet.

Inductive Logic & Program Synthesis / Commonsense Knowledgebase

• Inductive Logic - Plato Stanford. A computational philosophy account on Inductive Logic, which is a logic of evidential support.

• First-order Model Theory - Plato Stanford. A computational philosophy account on First-order Model Theory, which is a branch of mathematics that deals with the relationships between descriptions in first-order languages and the structures that satisfy these descriptions.

• Paraconsistent Logic - Plato Stanford. A computational philosophy account on Paraconsistent Logic, where any logic is paraconsistent as long as it is not explosive.

• Logical Consequence - Plato Stanford. A computational philosophy account on Logical Consequence, which is about the relation between premises and conclusions in valid arguments.

• Logic Pluralism - Plato Stanford. A computational philosophy account on Logic Pluralism, which is the view that there is more than one correct logic.

• The Emergence of First-Order Logic - Plato Stanford. A computational philosophy account on the emergence of first-order logic, mainly about first-order logic is natural retrospect.

• Second-order and Higher-order Logic - Plato Stanford.

• Program Synthesis - Foundations and Trends in Programming Languages, 2017. [All Versions]. Sumit Gulwani's comprehensive review on program synthesis.

• The Discovery of the Equator or Concept Driven Learning - IJCAI'83, 1983. [All Versions]. The original paper on second-order metarules.

• Meta-interpretive learning: application to grammatical inference - Machine Learning, 2014. [All Versions]. Stephen Muggleton's original paper on Meta-Interpretive Learning (MIL).

• Inductive logic programming at 30: a new introduction - Journal of Artificial Intelligence Research, 2020. [All Versions]. A 30-year comprehensive review on Inductive Logic Programming.

• Qualitative choice logic - Artificial Intelligence, 2004. [All Versions].

Knowledge Representation / Commonsense Knowledgebase

• Handbook of Knowledge Representation - Elsevier, 2008. [All Versions]. A pragmatical handbook for all kinds of knowledge representation modes.

• Logic and Ontology - Plato Stanford. A computational philosophy account on logic and ontology, mainly about the intersections of logic and ontology in many significant philosophy problems.

• The Language of Thought Hypothesis - Plato Stanford. A computational philosophy account on the laugnage of though hypothesis, which proposes that thinking occurs in a mental language.

• Scientific Representation - Plato Stanford. A computational philosophy account on scientific representation, focusing on how scientific models represent their target systems.

• Self-Knowledge - Plato Stanford. A computational philosophy account on self-knowledge, which standardly refers to knowledge of one's own mental states—that is, of what one is feeling or thinking, or what one believes or desires.

• Supervenience - Plato Stanford. A computational philosophy account on supervenience, where a set of properties A supervenes upon another set B just in case no two things can differ with respect to A-properties without also differing with respect to their B-properties.

• Dialogical Logic - Plato Stanford. A computational philosophy account on dialogical logic, which is a dialogue-based approach to logic and argumentation rooted in a research tradition that goes back to dialectics in Greek Antiquity, when problems were approached through dialogues in which opposing parties discussed a thesis through questions and answers.

• Temporal Logic - Plato Stanford.

• Modal Logic - Plato Stanford. A computational philosophy account on Modal Logic, which is the study of the deductive behavior of the expressions 'it is necessary that' and 'it is possible that'.

• Epistemic Logic - Plato Stanford. A computational philosophy account on Epistemic Logic, which is a subfield of epistemology concerned with logical approaches to knowledge, belief and related notions.

• The Perception of Relations - Trends in Cognitive Sciences, 2021. [All Versions]. Chaz Firestone's review on the perception of relation, in constrast to the conventional reasoning view.

• The discovery of structural form - Proceedings of the National Academy of Sciences, 2008. [All Versions]. Chales Kemp's review on theory induction.

• Theory Acquisition and the Language of Thought - CogSci'08, 2008. [All Versions].

Learning in the Open World / Commonsense Knowledgebase

• Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018. [All Versions]. A comprehensive review on zero-shot learning.

• Generalizing from a few examples: A survey on few-shot learning - ACM Computing Survey, 2020. [All Versions].

• Towards Open World Recognition - CVPR'15, 2015. [All Versions]. The first paper introducing the problem of open-world recognition.

• In the Wild: From ML Models to Pragmatic ML Systems - ICLR'20, 2020. [All Versions]. A comprehensive review on incremental machine learning.

Literature Management / Commonsense Knowledgebase

• Litmaps - Litmap Ltd. For interactive literature map construction and linked document management.

Knowledge Management / Commonsense Knowledgebase

• Where Does Niklas Luhmann's Card Index Come From? - Erudition and the Republic of Letters, 2018. [All Versions]. A simplified introduction on Luhmann's Zettelkasten.

• Niklas Luhmann's Card Index: The Fabrication of Serendipity - Sociologica, 2018. [All Versions].

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