What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Programming language
His primary areas of investigation include Cognition, Artificial intelligence, Cognitive science, Cognitive psychology and Recall.
His Cognition research is mostly focused on the topic Fan effect.
The Artificial intelligence study combines topics in areas such as Dreyfus model of skill acquisition, Natural language processing, Human–computer interaction, Integrated information theory and Lisp.
His work in Cognitive science covers topics such as Cognitive architecture which are related to areas like Adaptive control.
John R. Anderson has researched Cognitive psychology in several fields, including Cognitive development and Procedural knowledge.
The concepts of his Recall study are interwoven with issues in Latency, Communication and Arithmetic.
His most cited work include:
- The Architecture of Cognition (6553 citations)
- Cognitive Psychology and Its Implications (4027 citations)
- Acquisition of cognitive skill (2925 citations)
What are the main themes of his work throughout his whole career to date?
Cognition, Artificial intelligence, Cognitive psychology, Cognitive science and Cognitive model are his primary areas of study.
His biological study spans a wide range of topics, including Perception and Information processing.
His Artificial intelligence research integrates issues from Machine learning, Pattern recognition, Human–computer interaction and Natural language processing.
His Cognitive psychology research is multidisciplinary, relying on both Dreyfus model of skill acquisition, Social psychology and Prefrontal cortex.
His research is interdisciplinary, bridging the disciplines of Posterior parietal cortex and Prefrontal cortex.
He most often published in these fields:
- Cognition (26.58%)
- Artificial intelligence (24.25%)
- Cognitive psychology (20.76%)
What were the highlights of his more recent work (between 2011-2021)?
- Artificial intelligence (24.25%)
- Cognition (26.58%)
- Cognitive psychology (20.76%)
In recent papers he was focusing on the following fields of study:
John R. Anderson mainly investigates Artificial intelligence, Cognition, Cognitive psychology, Machine learning and Cognitive architecture.
John R. Anderson interconnects Neural correlates of consciousness, Sequence, Natural language processing and Pattern recognition in the investigation of issues within Artificial intelligence.
His Cognition research includes themes of Associative property, Encoding and Electroencephalography.
His study in Cognitive psychology is interdisciplinary in nature, drawing from both Brain activation, Metacognition, Prefrontal cortex, Cognitive science and Angular gyrus.
In his research, Functional neuroimaging is intimately related to Functional magnetic resonance imaging, which falls under the overarching field of Machine learning.
In his research on the topic of Cognitive architecture, Instance-based learning and Heuristics is strongly related with Human–computer interaction.
Between 2011 and 2021, his most popular works were:
- Cognitive Psychology and Its Implications (4027 citations)
- Cognitive Skills and Their Acquisition (1262 citations)
- Learning from experience: event-related potential correlates of reward processing, neural adaptation, and behavioral choice. (330 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Statistics
John R. Anderson focuses on Cognition, Artificial intelligence, Cognitive psychology, Hidden Markov model and Machine learning.
Specifically, his work in Cognition is concerned with the study of Cognitive model.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Working memory, Information processing theory, Cognitive architecture and Pattern recognition.
His Cognitive psychology research incorporates themes from Dreyfus model of skill acquisition, Perception, Action, Cognitive science and Speedup.
His studies deal with areas such as Functional magnetic resonance imaging and Cognitive bias as well as Machine learning.
John R. Anderson combines subjects such as Fan effect and Communication with his study of Associative property.
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