Theory
1,949 items in 14 lists
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A Theoretical Computer Science Perspective on Consciousness worldscientific.com
Journal of Artificial Intelligence and Consciousness, 2020. [All Versions].
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wikiHow wikihow.com
wikiHow.com. wikiHow is on website hosting step-by-step "How-to" procedural instructions across various domains and topics.
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Evolutionary trade-offs, Pareto optimality, and the geometry of phenotype space websites.umich.edu
Science, 2012. [All Versions]. A classic paper correlating biological trade-offs with the evolution of pareto optimality.
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The rational basis of representativeness web.mit.edu
CogSci'01, 2001. [All Versions].
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Visual Search at Pinterest web.archive.org
KDD'15, 2015. [All Versions]. Large scale user study in the development of the recommendations system by Pinterest.
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Leveraging Language for Abstraction and Program Search vigilworkshop.github.io
ICML'20, 2020. [All Versions].
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Vision: A Computational Investigation into the Human Representation and Processing of Visual Information usa1lib.org
MIT Press, 1982. [All Versions]. David Marr's original book on the levels of analysis.
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Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics tshu.io
CogSci'20, 2020. [All Versions].
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Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding transacl.org
Transactions of the Association for Computational Linguistics, 2017. [All Versions].
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A Translation Approach to Portable Ontology Specifications tomgruber.org
Knowledge Acquisition, 1993. [All Versions].
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The complete guide to (external) Domain Specific Languages tomassetti.me
. An introduction to Domain Specific Languages (DSL) based on 19 DSL cases.
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The World Avatar theworldavatar.io
The World Avatar™. A large-scale dynamic knowledge graph connecting concepts with relations to digitalize molecules, buildings, cities, and countries.
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A Study of Thinking taylorfrancis.com
Routledge, 1956. [All Versions]. This book is a pioneering account of how human beings achieve a measure of rationality in spite of the constraints imposed by time and ignorance.
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Bayesian Data Analysis taylorfrancis.com
Chapman and Hall/CRC, 1995. [All Versions]. Don Rubin's introductory book on Bayesian models.
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Explanation, updating, and accuracy tandfonline.com
Journal of Cognitive Psychology, 2016. [All Versions]. There is evidence that people update their credences partly on the basis of explanatory considerations. Philosophers have recently argued that to minimise the inaccuracy of their credences, people's updates also ought to be…
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The order effect in human abductive reasoning: an empirical and computational study tandfonline.com
Journal of Experimental & Theoretical Artificial Intelligence, 2006. [All Versions].
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Parameter Expansion for Data Augmentation tandfonline.com
Journal of the American Statistical Association, 1999. [All Versions]. [Preprint]. Viewing the observed data of a statistical model as incomplete and augmenting its missing parts are useful for clarifying concepts and central to the invention of two well-known statistical…
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Image complexity and spatial information stefan.winklerbros.net
International Workshop on Quality of Multimedia Experience, 2013. [All Versions].
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Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others static1.squarespace.com
NeurIPS'21, 2021. [All Versions].
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Representation Learning: A Statistical Perspective stat.ucla.edu
Annual Review of Statistics and Its Application, 2020. [All Versions]. Song-Chun Zhu and Ying Nian Wu's review on representation learning, in an account of statistics.
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How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence stanfordvr.com
Media Psychology, 2016. [All Versions]. A meta-analysis on the extent to which technologies need to be immersive in order to generate a sense of presence.
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Virtual reality: A survival guide for the social scientist stanfordvr.com
Journal of Media Psychology, 2009. [All Versions].
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Problem Solving and Rule Induction: A Unified View stacks.stanford.edu
Knowledge and cognition, 1974. [All Versions].
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Saying what you mean in dialogue: A study in conceptual and semantic co-ordination speech.kth.se
Cognition, 1987. [All Versions].
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Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies soft-computing.de
IEEE Transactions on Systems, Man, and Cybernetics, 2008. [All Versions]. A comprehensive review on the application of pareto optimality to multiobjective machine learning.
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Conversation, co-ordination and convention: an empirical investigation of how groups establish linguistic conventions sfs.uni-tuebingen.de
Cognition, 1994. [All Versions].
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Information Structure in Discourse: Towards an Integrated Formal Theory of Pragmatics semprag.org
Semantics and Pragmatics, 1998. [All Versions].
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Processing gradable adjectives in context: A visual world study semantics.uchicago.edu
Semantics and Linguistic Theory, 2016. [All Versions]. Adjective understanding as a rational inference in the context.
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A Probabilistic Theory of Abductive Reasoning scitepress.org
ICAART, 2021. [All Versions]. A probabilistic perspective for interpreting Abductive Reasoning.
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What is a minimal working example for a self-driving laboratory? sciencedirect.com
Matter, 2022. [All Versions]. This paper proposes SDL-Demo: a low-cost “Hello, World!” for self-driving laboratories that combines “Hello, World!” tasks from electronics, physics-based simulations, and optimization. SDL-Demo is modular and extensible, making it an ideal…
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CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models sciencedirect.com
iScience, 2022. [All Versions]. This work proposes CX-ToM, short for counterfactual explanations with theory-of-mind, a new explainable AI (XAI) framework for explaining decisions made by a deep convolutional neural network (CNN). In contrast to the current methods in XAI that…
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Balancing exploration and exploitation with information and randomization sciencedirect.com
Current Opinion in Behavioral Sciences, 2021. [All Versions].
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Exploration: from machines to humans sciencedirect.com
Current Opinion in Behavioral Sciences, 2020. [All Versions].
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Explanation-seeking curiosity in childhood sciencedirect.com
Current Opinion in Behavioral Sciences, 2020. [All Versions]. A piece of developmental pshchological evidence for Abduction in young children.
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Tasks for aligning human and machine planning sciencedirect.com
Current Opinion in Behavioral Sciences, 2019. [All Versions].
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Theory of mind as inverse reinforcement learning sciencedirect.com
Current Opinion in Behavioral Sciences, 2019. [All Versions]. This paper reviews the idea that Theory of Mind --- humans' ability to reason about other people's mental states --- can be formalized as inverse reinforcement learning. Under this framework, expectations about how…
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Abduction: A categorical characterization sciencedirect.com
Journal of Applied Logic, 2015. [All Versions].
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Goals, usefulness and abstraction in value-based choice sciencedirect.com
Trends in Cognitive Sciences, 2023. [All Versions]. A review that outlines the computational and biological principles that enable the brain to compute the usefulness of an option or action by creating abstractions that flexibly adapt to changing goals.
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How explanation guides belief change sciencedirect.com
Trends in Cognitive Sciences, 2021. [All Versions]. Philosophers have argued that people ought to change their graded beliefs via Bayes’ rule. Recent work in psychology indicates that people sometimes violate that rule by attending to explanatory factors. Results from…
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Dual coding of knowledge in the human brain sciencedirect.com
Trends in Cognitive Sciences, 2021. [All Versions]. Yanchao Bi's review on neuroscience experiments on dual coding theory.
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Rationalizing constraints on the capacity for cognitive control sciencedirect.com
Trends in Cognitive Sciences, 2021. [All Versions]. Humans are remarkably limited in: (i) how many control-dependent tasks they can execute simultaneously, and (ii) how intensely they can focus on a single task. These limitations are universal assumptions of most theories of…
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The secret life of predictive brains: what's spontaneous activity for? sciencedirect.com
Trends in Cognitive Sciences, 2021. [All Versions]. A neuroscience account on brain as a generative model.
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How We Know What Not To Think sciencedirect.com
Trends in Cognitive Sciences, 2019. [All Versions]. Humans often represent and reason about unrealized possible actions---the vast infinity of things that were not (or have not yet been) chosen. This capacity is central to the most impressive of human abilities: causal…
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Intuitive Physics: Current Research and Controversies sciencedirect.com
Trends in Cognitive Sciences, 2018. [All Versions]. Hongjing Lu's review on intuitive physics.
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Mind Games: Game Engines as an Architecture for Intuitive Physics sciencedirect.com
Trends in Cognitive Sciences, 2017. [All Versions]. Tomer Ullman's review on simulation-based intuitive physics.
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Bayesian Brains without Probabilities sciencedirect.com
Trends in Cognitive Sciences, 2016. [All Versions]. A perspective on human probabilistic modeling without explicit probabilistic computation.
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Pragmatic Language Interpretation as Probabilistic Inference sciencedirect.com
Trends in Cognitive Sciences, 2016. [All Versions]. Understanding language requires more than the use of fixed conventions and more than decoding combinatorial structure. Instead, comprehenders make exquisitely sensitive inferences about what utterances mean given their…
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The neural bases of complex tool use in humans sciencedirect.com
Trends in Cognitive Sciences, 2004. [All Versions]. A neuroscience account of human tool use.
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A dual-space model of iteratively deepening exploratory learning sciencedirect.com
International Journal of Human-Computer Studies, 1996. [All Versions]. This paper describes a cognitive model of exploratory learning, which covers both trial-and-error and instruction-taking activities. The model, implemented in Soar, is grounded in empirical data of subjects…
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Spontaneous Metatool Use by New Caledonian Crows sciencedirect.com
Current Biology, 2007. [All Versions]. A piece of evidence that intelligent animals can take advantage of matatools to make tools for problem solving.
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