Theory
1,949 items in 14 lists
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The Emergence of First-Order Logic plato.stanford.edu
Plato Stanford. A computational philosophy account on the emergence of first-order logic, mainly about first-order logic is natural retrospect.
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Epistemic Logic plato.stanford.edu
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.
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Dialogical Logic plato.stanford.edu
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…
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The Language of Thought Hypothesis plato.stanford.edu
Plato Stanford. A computational philosophy account on the laugnage of though hypothesis, which proposes that thinking occurs in a mental language.
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The Analysis of Knowledge plato.stanford.edu
Plato Stanford.
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Intentionality plato.stanford.edu
Plato Stanford.
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Bayesian Epistemology plato.stanford.edu
Plato Stanford. A computational philosophy account on the nature of uncertainty modeling in Bayesian Epistemology.
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Epistemology plato.stanford.edu
Plato Stanford.
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Embodied Cognition plato.stanford.edu
Plato Stanford. A computational philosophy account on Embodied Cognition, which emphasizes the significance of an agent's physical body in cognitive abilities.
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Externalism About the Mind plato.stanford.edu
Plato Stanford. A computational philosophy account on mind externalism, a long-term debate about the boundary of embodied intelligence.
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Causal Theories of Mental Content plato.stanford.edu
Plato Stanford. A computational philosophy account on causal theories of mental content, which attempts to explain how thoughts can be about things.
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Concepts plato.stanford.edu
Plato Stanford. A collection of the computational philosophical debates about the concepts.
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Compositionality plato.stanford.edu
Plato Stanford. A computational philosophy account on compositionality, one of the distinctive feature of language.
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Common Knowledge plato.stanford.edu
Plato Stanford.
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Causal Models plato.stanford.edu
Plato Stanford. A computational philosophy account on Causal models, which are mathematical models representing causal relationships within an individual system or population.
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Bounded Rationality plato.stanford.edu
Plato Stanford. A computational philosophy account on Bounded Rationality, an elementary hypothesis of human intelligence in psychology and ecology.
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Abduction plato.stanford.edu
Plato Stanford. A computational philosophy account on Abduction, one of the three thinking patterns besides Induction and Deduction, being unique for its potential to introduce new ideas into current knowledge.
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The Perception of Relations perception.jhu.edu
Trends in Cognitive Sciences, 2021. [All Versions]. Chaz Firestone's review on the perception of relation, in constrast to the conventional reasoning view.
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Seeing and speaking: How verbal “description length” encodes visual complexity perception.jhu.edu
Journal of Experimental Psychology, 2022. [All Versions]. [APA]. Empirical evidencs showing the relation between visual complexity and description length.
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Humans can decipher adversarial images perception.jhu.edu
Nature Communications. 2019. [All Versions].
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Acquiring Comparative Commonsense Knowledge from the Web people.mpi-inf.mpg.de
AAAI'14, 2014. [All Versions].
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Mixtures of Dirichlet Process with Applications to Bayesian Nonparametric Problems people.eecs.berkeley.edu
The Annals of Statistics, 1974. [All Versions]. The original paper on Dirichlet Process modeling for non-parametric problems.
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Levels of Analysis in Computational Social Science people.csail.mit.edu
CogSci'18, 2018. [All Versions]. A Marr's paradigm account on computational social science.
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Similarity involving attributes and relations: Judgments of similarity and difference are not inverses pcl.sitehost.iu.edu
Psychological Science, 1990. [All Versions].
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This Looks Like That: Deep Learning for Interpretable Image Recognition papers.neurips.cc
NeurIPS'19, 2019. [All Versions].
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Bridging Machine Learning and Logical Reasoning by Abductive Learning. papers.neurips.cc
NeurIPS'19, 2019. [All Versions]. [Slides]. [Code]. The original paper on Abductive Learning, a derivative-free approach for neuro-symbolic learning.
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Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components papers.neurips.cc
NeurIPS'19, 2019. [All Versions].
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On the Expressivity of Markov Reward papers.neurips.cc
NeurIPS'21, 2021. [All Versions]. A formal treatment of tasks and rewards in reinforcement learning modeling.
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Visual Concept-Metaconcept Learning papers.neurips.cc
NeurIPS'19, 2019. [All Versions].
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Causal Reasoning oxfordhandbooks.com
The Oxford Handbook of Cognitive Psychology, 2013. [All Versions].
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On Monte Carlo Tree Search and Reinforcement Learning oucsace.cs.ohio.edu
Journal of Artificial Intelligence Research, 2017. [All Versions].
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Scaling up experimental social, behavioral, and economic science osf.io
Open Science Foundation Preprints. [All Versions]. A white paper on scaling up social, behavioral, and econimic experiments.
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What we mean when we say semantic: A Consensus statement on the nomenclature of semantic memory osf.io
2023. [All Versions]. The aim of this multidisciplinary workgroup was to establish consensus definitions for some of the major recurring constructs in semantic research (e.g., concept, amodal, abstract). These efforts yielded a glossary consisting of succinct definitions…
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Learn to explain efficiently via neural logic inductive learning openreview.net
ICLR'20, 2020. [All Versions]. [Project].
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Stochastic Optimization of Sorting Networks via Continuous Relaxations openreview.net
ICLR'19, 2019. [All Versions].
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Abductive Commonsense Reasoning openreview.net
ICLR'20, 2020. [All Versions]. Abductive commonsense reasoning on large language models.
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Program Guided Agent openreview.net
ICLR'20, 2020. [All Versions].
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Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration openreview.net
ICLR'21, 2021. [All Versions].
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Learning Energy-Based Models by Diffusion Recovery Likelihood openreview.net
ICLR'21, 2021. [All Versions]. [Code].
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Learning to Perform Physics Experiments via Deep Reinforcement Learning openreview.net
ICLR'17, 2017. [All Versions].
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NBDT: Neural-Backed Decision Trees openreview.net
ICLR'21, 2021. [All Versions]. [Code]. Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use. In response, previous work combines decision trees with deep learning, yielding models…
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HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making openreview.net
AAMAS'26, 2026. [All Versions]. Benchmarks are crucial for assessing multi-agent reinforcement learning (MARL) algorithms. While StarCraft II-related environments have driven significant advances in MARL, existing benchmarks like SMAC focus primarily on micromanagement…
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Balancing Constraints and Rewards with Meta-Gradient D4PG openreview.net
ICLR'21, 2021. [All Versions].
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Meta-Q-Learning openreview.net
ICLR'20, 2020. [All Versions]. The milestone paper on context Meta-RL.
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Score-Based Generative Modeling through Stochastic Differential Equations openreview.net
ICLR'21, 2021. [All Versions].
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Physion: Evaluating Physical Prediction from Vision in Humans and Machines openreview.net
NeurIPS'21, 2021. [All Versions].
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The KoLMogorov Test: Compression by Code Generation openreview.net
ICLR'25, 2025. [All Versions]. Compression is at the heart of intelligence. A theoretically optimal way to compress any sequence of data is to find the shortest program that outputs that sequence and then halts. However, such Kolmogorov compression is uncomputable, and code…
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Metacontrol for Adaptive Imagination-Based Optimization openreview.net
ICLR'17, 2017. [All Versions].
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Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs openreview.net
ICLR'25, 2025. [All Versions]. [Project]. Self-driving laboratories have begun to replace human experimenters in performing single experimental skills or predetermined experimental protocols. However, as the pace of idea iteration in scientific research has been intensified by…
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Solving Compositional Reinforcement Learning Problems via Task Reduction openreview.net
ICLR'21, 2021. [All Versions].
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