What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Cognitive science
His main research concerns Cognition, Cognitive development, Cognitive psychology, Cognitive science and Transitive relation.
His Cognition research includes elements of Statistical hypothesis testing and Heuristic.
His Cognitive development research is multidisciplinary, relying on both Common ground, Division, Computational model and Relational complexity.
His Relational complexity study combines topics in areas such as Piaget's theory of cognitive development and Basic learning.
His work on Information processing as part of general Cognitive psychology study is frequently linked to Structure mapping, therefore connecting diverse disciplines of science.
His Cognitive science research incorporates elements of Concept learning, Analogy, Isomorphism and Connectionism.
His most cited work include:
- Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology (709 citations)
- Children's Understanding: The Development of Mental Models (497 citations)
- How Many Variables Can Humans Process (305 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Cognitive psychology, Cognition, Cognitive science, Cognitive development and Working memory.
His Cognitive psychology research is multidisciplinary, incorporating perspectives in Comprehension, Relational complexity, Developmental psychology, Cognitive complexity and Theory of mind.
His research investigates the connection with Comprehension and areas like Sentence which intersect with concerns in Relative clause.
His work in the fields of Short-term memory overlaps with other areas such as Metric.
His Cognitive science research integrates issues from Artificial neural network, Connectionism, Structure and Analogy, Analogical reasoning.
His research in Cognitive development intersects with topics in Concept learning, Age differences, Preschool education and Social cognition.
He most often published in these fields:
- Cognitive psychology (54.20%)
- Cognition (38.93%)
- Cognitive science (29.01%)
What were the highlights of his more recent work (between 2011-2017)?
- Cognitive psychology (54.20%)
- Working memory (14.50%)
- Cognition (38.93%)
In recent papers he was focusing on the following fields of study:
Graeme S. Halford spends much of his time researching Cognitive psychology, Working memory, Cognition, Cognitive science and Computational model.
His Cognitive psychology study incorporates themes from Relational complexity, Comprehension, Stroke, Ambiguity and Artificial intelligence.
His work deals with themes such as Social psychology, Control, Event-related potential, Cognitive complexity and Theory of mind, which intersect with Working memory.
The concepts of his Cognition study are interwoven with issues in Object, Associative property and Network dynamics.
His work carried out in the field of Cognitive science brings together such families of science as Prefrontal cortex, Social cognition and Set.
His Computational model research incorporates themes from Cognitive development and Connectionism.
Between 2011 and 2017, his most popular works were:
- Developing Cognitive Competence : New Approaches To Process Modeling (227 citations)
- Complexity in Relational Processing Predicts Changes in Functional Brain Network Dynamics (62 citations)
- Genetic Basis of a Cognitive Complexity Metric (27 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Artificial intelligence
- Cognitive science
His scientific interests lie mostly in Cognition, Cognitive science, Cognitive psychology, Artificial intelligence and Cognitive development.
Graeme S. Halford studies Prefrontal cortex which is a part of Cognition.
He interconnects Deductive reasoning, Network dynamics and Set in the investigation of issues within Cognitive science.
His study in the field of Discrimination learning also crosses realms of Relational structure.
His Artificial intelligence study integrates concerns from other disciplines, such as Tower, Trail Making Test, Ambiguity and Stroke.
His research integrates issues of Computational model, Connectionism and Selection in his study of Cognitive development.
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