What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Social psychology
His scientific interests lie mostly in Perception, Cognitive psychology, Categorization, Concept learning and Social psychology.
His Perception study integrates concerns from other disciplines, such as Communication, Process and Similarity, Artificial intelligence.
His biological study deals with issues like Embodied cognition, which deal with fields such as Meaning and Science instruction.
His biological study spans a wide range of topics, including Perceptual learning, Connectionism, Object, Rule-based system and Object.
His Concept learning study incorporates themes from Cognitive science and Pattern recognition.
His Social psychology research incorporates themes from Theoretical computer science, Relational similarity, Similarity, Semantic similarity and Stimulus Similarity.
His most cited work include:
- Respects for similarity (934 citations)
- Influences of categorization on perceptual discrimination. (477 citations)
- The development of features in object concepts (472 citations)
What are the main themes of his work throughout his whole career to date?
Robert L. Goldstone mainly focuses on Cognitive psychology, Cognitive science, Perception, Artificial intelligence and Concept learning.
His Cognitive psychology research is multidisciplinary, incorporating perspectives in Analogy, Social psychology and Categorical perception.
His work in the fields of Imitation overlaps with other areas such as Social network.
His studies in Cognitive science integrate themes in fields like Collective behavior, Computational model and Notation.
His Perception study integrates concerns from other disciplines, such as Task and Action.
His Concept learning research includes elements of Generalization, Generalization and Categorization.
He most often published in these fields:
- Cognitive psychology (30.97%)
- Cognitive science (25.48%)
- Perception (24.84%)
What were the highlights of his more recent work (between 2015-2021)?
- Cognitive science (25.48%)
- Cognitive psychology (30.97%)
- Artificial intelligence (18.71%)
In recent papers he was focusing on the following fields of study:
Robert L. Goldstone mainly investigates Cognitive science, Cognitive psychology, Artificial intelligence, Perception and Concept learning.
His study in Cognitive science is interdisciplinary in nature, drawing from both Cognitive development and Collective behavior.
As part of his studies on Cognitive psychology, he often connects relevant areas like Visual perception.
His Artificial intelligence research is mostly focused on the topic Categorization.
His Perception research integrates issues from Basis, Simple and Action.
His Concept learning study combines topics in areas such as Context, Social psychology, Process and Encoding.
Between 2015 and 2021, his most popular works were:
- Discovering Psychological Principles by Mining Naturally Occurring Data Sets. (43 citations)
- Peer review and competition in the Art Exhibition Game (36 citations)
- The sequence of study changes what information is attended to, encoded, and remembered during category learning. (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Social psychology
His main research concerns Cognitive psychology, Perception, Cognitive science, Context and Artificial intelligence.
Robert L. Goldstone is studying Concept learning, which is a component of Cognitive psychology.
His work investigates the relationship between Concept learning and topics such as Process that intersect with problems in Social psychology, Encoding and Sequence.
His work on Categorical perception as part of general Perception research is frequently linked to Psychological aspects, bridging the gap between disciplines.
The various areas that Robert L. Goldstone examines in his Cognitive science study include Action, Embodied cognition, Verbal reasoning, Algebraic reasoning and Case-based reasoning.
His work in the fields of Artificial intelligence, such as Categorization, overlaps with other areas such as Visual observation and Scientific discovery.
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