What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Cognitive science
His primary scientific interests are in Cognitive science, Cognitive psychology, Cognition, Categorization and Concept learning.
His Cognitive science research integrates issues from Comprehension, Action, Situated, Artificial intelligence and Analogy.
His Cognitive psychology study incorporates themes from Mental representation and Brain mapping.
His work deals with themes such as Perception and Embodied cognition, which intersect with Cognition.
The Amodal perception research Lawrence W. Barsalou does as part of his general Perception study is frequently linked to other disciplines of science, such as Poison control, therefore creating a link between diverse domains of science.
The various areas that Lawrence W. Barsalou examines in his Concept learning study include Conceptual system and Perceptual learning.
His most cited work include:
- Perceptual symbol systems. (4243 citations)
- Ad hoc categories (1323 citations)
- Embodiment in Attitudes, Social Perception, and Emotion (1040 citations)
What are the main themes of his work throughout his whole career to date?
Lawrence W. Barsalou mainly focuses on Cognitive psychology, Cognitive science, Cognition, Perception and Social psychology.
In Cognitive psychology, Lawrence W. Barsalou works on issues like Property, which are connected to Similarity.
His research in Cognitive science intersects with topics in Situated, Categorization, Artificial intelligence, Concept learning and Conceptual system.
His Cognition study combines topics in areas such as Inference, Comprehension and Embodied cognition.
He interconnects Speech recognition, Symbol and Communication in the investigation of issues within Perception.
His study on Affect is often connected to Mindfulness and Event as part of broader study in Social psychology.
He most often published in these fields:
- Cognitive psychology (44.44%)
- Cognitive science (35.29%)
- Cognition (28.76%)
What were the highlights of his more recent work (between 2012-2021)?
- Cognitive psychology (44.44%)
- Cognitive science (35.29%)
- Cognition (28.76%)
In recent papers he was focusing on the following fields of study:
Cognitive psychology, Cognitive science, Cognition, Situated and Social psychology are his primary areas of study.
The study incorporates disciplines such as Sadness, Situational ethics, Situated cognition, Neuroimaging and Happiness in addition to Cognitive psychology.
His Cognitive science research incorporates themes from Context, Communication, Relevance, Cognitive neuroscience and Variety.
The study of Cognition is intertwined with the study of Perception in a number of ways.
His work carried out in the field of Perception brings together such families of science as Knowledge management, Conceptual system and Artificial intelligence.
His Situated study integrates concerns from other disciplines, such as Action, Mirroring and Conceptualization.
Between 2012 and 2021, his most popular works were:
- Flexibility, Structure, and Linguistic Vagary in Concepts: Manifestations of a Compositional System of Perceptual Symbols (265 citations)
- Neural Evidence That Human Emotions Share Core Affective Properties (116 citations)
- On Staying Grounded and Avoiding Quixotic Dead Ends (112 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Artificial intelligence
- Cognitive science
His main research concerns Cognitive psychology, Cognitive science, Perception, Social psychology and Artificial intelligence.
His work deals with themes such as Sadness, Pleasure, Developmental psychology, Affective neuroscience and Happiness, which intersect with Cognitive psychology.
His work in Affective neuroscience addresses issues such as Mentalization, which are connected to fields such as Situated.
His Cognitive science research incorporates elements of Context and Variety.
His Perception research includes themes of Conceptual system, Human–computer interaction, Knowledge management and Computer vision.
His Lexical semantics study in the realm of Artificial intelligence interacts with subjects such as Structure.
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