What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Epistemology
His primary scientific interests are in Cognition, Analogy, Artificial intelligence, Cognitive psychology and Cognitive science.
Cognition is often connected to Mathematics education in his work.
As part of one scientific family, he deals mainly with the area of Analogy, narrowing it down to issues related to the Similarity, and often Salient and Semantic similarity.
His research integrates issues of Constraint satisfaction, Theoretical computer science, Relevance and Structure mapping engine in his study of Artificial intelligence.
He interconnects Transfer of learning, Working memory and Logical reasoning in the investigation of issues within Cognitive psychology.
The Cognitive science study combines topics in areas such as Sequence learning, Categorization, Predictive learning, Associative learning and Causal model.
His most cited work include:
- Schema induction and analogical transfer (2239 citations)
- Analogical problem solving (1965 citations)
- Induction: Processes of Inference, Learning, and Discovery (1672 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Cognitive psychology, Cognitive science, Artificial intelligence, Cognition and Analogy.
His work investigates the relationship between Cognitive psychology and topics such as Social psychology that intersect with problems in Concept learning.
His work deals with themes such as Deductive reasoning, Connectionism and Relational reasoning, which intersect with Cognitive science.
His Artificial intelligence research incorporates elements of Cognitive architecture, Machine learning, Relation and Natural language processing.
His work in Cognition is not limited to one particular discipline; it also encompasses Perception.
His study in Analogy is interdisciplinary in nature, drawing from both Schema, Context and Inference.
He most often published in these fields:
- Cognitive psychology (30.18%)
- Cognitive science (24.36%)
- Artificial intelligence (23.64%)
What were the highlights of his more recent work (between 2016-2021)?
- Cognitive psychology (30.18%)
- Analogy (23.27%)
- Cognitive science (24.36%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cognitive psychology, Analogy, Cognitive science, Artificial intelligence and Analogical reasoning.
His Cognitive psychology study incorporates themes from Fluid and crystallized intelligence, Comprehension, Cognitive load, Autism and Cognitive style.
His research investigates the connection with Analogy and areas like Deep learning which intersect with concerns in Relational similarity, Big data and Supervised learning.
The study incorporates disciplines such as Probabilistic simulation, Comparative psychology, Representation, Posterior parietal cortex and Relational reasoning in addition to Cognitive science.
His biological study spans a wide range of topics, including Causal model and Natural language processing.
His Analogical reasoning research is multidisciplinary, incorporating perspectives in Cognition, Relation, Computational model and Code.
Between 2016 and 2021, his most popular works were:
- Intuitive Physics: Current Research and Controversies (53 citations)
- Metaphor comprehension: A critical review of theories and evidence. (37 citations)
- Emergence of analogy from relation learning. (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Linguistics
Keith J. Holyoak spends much of his time researching Analogy, Cognitive science, Metaphor, Cognitive psychology and Social psychology.
His work in Analogy addresses subjects such as Converse, which are connected to disciplines such as Artificial intelligence.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Generativity and Relation.
The various areas that Keith J. Holyoak examines in his Cognitive science study include Range, Perception, Heuristic and Normative.
His research investigates the connection between Cognitive psychology and topics such as Raven's Progressive Matrices that intersect with issues in Comprehension, Relevance, Moderated mediation, Recall and Animation.
His Social psychology research integrates issues from Probabilistic simulation and Open data.
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