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{
"count": 98336,
"next": "https://eartharxiv.org/api/keywords/?format=api&limit=100&offset=47800",
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"results": [
{
"word": "creativity; group processes; engineering"
},
{
"word": "Gesture; eye tracking; learning; visual attention"
},
{
"word": "self-referential processing"
},
{
"word": "distraction"
},
{
"word": "cognitivemodeling"
},
{
"word": "complex working memory"
},
{
"word": "Action; Triads; Context; Instructions."
},
{
"word": "prospection"
},
{
"word": "future thinking"
},
{
"word": "extended self"
},
{
"word": "syllogisms"
},
{
"word": "mReasoner"
},
{
"word": "counterexamples"
},
{
"word": "active learning; lexical development; overhearing"
},
{
"word": "semantic spaces; vector representations; spikingneurons; insight; remote associates test"
},
{
"word": "Attentional Blink"
},
{
"word": "Strategy Choice"
},
{
"word": "Temporal Expectations"
},
{
"word": "selective attention; auditory attention;\ncategorization; category learning; word learning"
},
{
"word": "Cross-modal processing; Sensory Dominance;Attention."
},
{
"word": "computational modelling; semantic networks; text\ncorpora; lexical decision; concreteness; imageability"
},
{
"word": "Word meaning; semantic change; polysemy;metaphorical mapping; systematicity"
},
{
"word": "Joint action; signaling; coordination strategy;\ncooperation; communication; social cognition."
},
{
"word": "perceived momentum; responsibility\njudgments; perceived causality"
},
{
"word": "Linguistic relativity; Sapir-Whorf hypothesis; se-mantic universals; name strategy; categorization; spatial rela-tions; computational models."
},
{
"word": "category learning; memory; dual-systems; recog-nition"
},
{
"word": "cross-language semantics"
},
{
"word": "multivoxel patternanalysis"
},
{
"word": "concept representation"
},
{
"word": "color terms"
},
{
"word": "linguistic rela-tivity"
},
{
"word": "Typological Prevalence Hypothesis"
},
{
"word": "referential ex-pressions"
},
{
"word": "levels of reference"
},
{
"word": "basic level"
},
{
"word": "experimental prag-matics"
},
{
"word": "computational pragmatics"
},
{
"word": "classifiers; object concepts; Mandarin; Dutch;\nlinguistic relativity; language and thought"
},
{
"word": "color perception; visual working memory; infor-mation theory; rate–distortion theory"
},
{
"word": "binding"
},
{
"word": "temporalasynchrony"
},
{
"word": "oscillations"
},
{
"word": "computational neuroscience"
},
{
"word": "response time; decision-making; evidence accu-mulation; sequential sampling; decisions from experience"
},
{
"word": "Cognitive modeling; Model optimization;\nLanguage processing; Corpus-based models."
},
{
"word": "problem solving; information-processing model;insight; representation change"
},
{
"word": "morality; inductive reasoning; concepts;\ncategorization; taxonomies"
},
{
"word": "novel word generalization; word learning; compu-tational modeling"
},
{
"word": "spatial metaphor; valence"
},
{
"word": "emotional expressionidentification; spatial reference frames"
},
{
"word": "artificial language; language acquisition;productivity; morphology; computational modeling."
},
{
"word": "concept learning"
},
{
"word": "repetition."
},
{
"word": "relational categories; structural alignment;comparison; classification learning; transfer; performancepressure"
},
{
"word": "cognition; decision making; quantum probability"
},
{
"word": "event perception; working memory; embodiedcognition; neural networks; syntactic heads"
},
{
"word": "Lan-guage understanding"
},
{
"word": "Bayesianmodeling"
},
{
"word": "Experimental research with adult humans"
},
{
"word": "decision-making under uncertainty"
},
{
"word": "workingmemory"
},
{
"word": "Iowa Gambling Task"
},
{
"word": "deep learning; neural networks; psychologicalrepresentations; similarity"
},
{
"word": "Prospect Theory; Negotiation; Context andEmotion; Gain/Loss Framing; Human-agent interaction"
},
{
"word": "categorization; generalization; formal modeling"
},
{
"word": "time; word learning; development; abstractconcepts; timeline"
},
{
"word": "looking at nothing; spatial indexing; mentalrepresentation; visuospatial memory; verbal memory; spatialinterference; individual differences"
},
{
"word": "Bayesian modeling; pronoun interpretation; Man-darin Chinese"
},
{
"word": "levels; analysis; explanation; organization;cognitive science; conceptual framework"
},
{
"word": "cognitive modeling; game theory; behavioralgame theory; strategy selection; agent simulation; model trac-ing"
},
{
"word": "autism; probabilistic reasoning; prediction"
},
{
"word": "space; time; mental timeline; metaphor; workingmemory; interference; implicit association"
},
{
"word": "Pragmatics; development; scalar implicature; dif-fusion models"
},
{
"word": "Spatial language; spatial cognition; acquisition;language use"
},
{
"word": "information search; information foraging;\ndecision making; triage decision making"
},
{
"word": "quantum probability theory"
},
{
"word": "Bayes networks"
},
{
"word": "order effects"
},
{
"word": "Bayesian parameter estimation"
},
{
"word": "Multitasking; driving; cognitive architectures"
},
{
"word": "Category learning; supervised learning; curse ofdimensionality"
},
{
"word": "question asking"
},
{
"word": "active in-quiry"
},
{
"word": "scientific reasoning"
},
{
"word": "writing; natural language processing;computational linguistics; strategies; working memory"
},
{
"word": "statistical learning; prosody; prominenceperception; attention; stimulus predictability"
},
{
"word": "face recognition;analysis-by-synthesis; neural networks; computational"
},
{
"word": "learning; memory; working memory capacity;general cognitive ability; fluid intelligence; individualdifferences; computational modeling"
},
{
"word": "relational processing"
},
{
"word": "implicit learning; syntactic priming;\nrelative clause attachment bias; non-adjacent\ndependencies"
},
{
"word": "false-belief understanding; theory of mind;\nmental-state reasoning; social cognition"
},
{
"word": "Take The Best"
},
{
"word": "Reinforcement Learning"
},
{
"word": "event roles; thematic roles; event perception;\nvisual perception; switching costs"
},
{
"word": "shape perception; object recognition; neural net-works; 3D shape; deep learning"
},
{
"word": "Human Error; Memory for Goals; Eye-Tracking;ACT-R; Cognitive Modeling"
},
{
"word": "systematicity; sentence production; connectionist;semantics; syntax; neural networks"
},
{
"word": "non-adjacent dependency learning;\ngrammatical entrainment"
},
{
"word": "active learning; intuitive physics; causality; prob-abilistic inference; mental simulation."
},
{
"word": "attention; perception; vision; cognitive model;inattentional blindness"
}
]
}