What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Social psychology
Arthur B. Markman spends much of his time researching Social psychology, Cognitive psychology, Similarity, Artificial intelligence and Cognition.
His Social psychology research integrates issues from Contrast and Cultural analysis.
Arthur B. Markman has researched Cognitive psychology in several fields, including Reinforcement, Perception and Reinforcement learning.
The various areas that Arthur B. Markman examines in his Similarity study include Decision rule, Analogy, Decision engineering and Component.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Engineering design process and Natural language processing.
His Cognition research is multidisciplinary, incorporating elements of Developmental psychology, Flexibility, Face and Embodied cognition.
His most cited work include:
- Structure mapping in analogy and similarity. (1310 citations)
- Knowledge Representation (1142 citations)
- Structural Alignment during Similarity Comparisons (615 citations)
What are the main themes of his work throughout his whole career to date?
Social psychology, Cognitive psychology, Cognition, Artificial intelligence and Cognitive science are his primary areas of study.
His work on Affect as part of general Social psychology research is frequently linked to Regulatory focus theory, bridging the gap between disciplines.
His Cognitive psychology study integrates concerns from other disciplines, such as Perception and Reinforcement learning.
His Cognition study often links to related topics such as Categorization.
Arthur B. Markman interconnects Analogy and Natural language processing in the investigation of issues within Artificial intelligence.
Arthur B. Markman has included themes like Similarity, Process and Engineering design process in his Analogy study.
He most often published in these fields:
- Social psychology (26.99%)
- Cognitive psychology (26.55%)
- Cognition (25.22%)
What were the highlights of his more recent work (between 2011-2020)?
- Social psychology (26.99%)
- Cognitive psychology (26.55%)
- Cognition (25.22%)
In recent papers he was focusing on the following fields of study:
Arthur B. Markman mostly deals with Social psychology, Cognitive psychology, Cognition, Cognitive science and Context.
His Social psychology study combines topics from a wide range of disciplines, such as Contingency and User experience design.
His research integrates issues of Implicit memory, Inference, Reinforcement learning, Reinforcement and Explicit memory in his study of Cognitive psychology.
His Cognitive science study incorporates themes from Perception and Embodied cognition.
His biological study spans a wide range of topics, including Concept learning and Analogy.
His research in Artificial intelligence intersects with topics in Control, Comprehension and Natural language processing.
Between 2011 and 2020, his most popular works were:
- The Curse of Planning Dissecting Multiple Reinforcement-Learning Systems by Taxing the Central Executive (232 citations)
- Retrospective revaluation in sequential decision making: a tale of two systems. (142 citations)
- Design by Analogy: A Study of the WordTree Method for Problem Re-Representation (132 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Social psychology
Arthur B. Markman mainly investigates Social psychology, Epistemology, Cognitive science, Reinforcement and Reinforcement learning.
His studies in Social psychology integrate themes in fields like Test performance, Contrast and Impulsivity.
The Cognitive science study combines topics in areas such as Embodied cognition, Representation, Conceptual change, Connectionism and Metaphor.
The concepts of his Reinforcement study are interwoven with issues in Cognitive load, Sequential decision, Cognitive psychology and Internal model.
His Cognitive psychology study combines topics in areas such as Risk analysis, Cognitive resource theory and Somatic marker hypothesis.
His Reinforcement learning research incorporates elements of Curse and Cognitive neuroscience.
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