What is he best known for?
The fields of study Nick Chater is best known for:
- Cognition
- Linguistics
- Cognitive science
His work in the fields of Phonology, such as Linguistics, overlaps with other areas such as Natural language processing.
Nick Chater is involved in relevant fields of research such as Phonology, Language acquisition and Grammar in the realm of Linguistics.
In his works, he undertakes multidisciplinary study on Natural language processing and Artificial intelligence.
His research on Artificial intelligence often connects related topics like Selection (genetic algorithm).
He performs multidisciplinary studies into Neuroscience and Perception in his work.
His work blends Perception and Neuroscience studies together.
He performs multidisciplinary study in Cognitive psychology and Social psychology in his work.
He performs integrative Social psychology and Cognitive psychology research in his work.
He conducts interdisciplinary study in the fields of Cognitive science and Cognition through his research.
His most cited work include:
- A rational analysis of the selection task as optimal data selection. (856 citations)
- Language as shaped by the brain (656 citations)
- A temporal ratio model of memory. (599 citations)
What are the main themes of his work throughout his whole career to date
Nick Chater connects relevant research areas such as Probabilistic logic and Inference in the domain of Artificial intelligence.
In his works, he conducts interdisciplinary research on Cognitive psychology and Social psychology.
In his research, he performs multidisciplinary study on Social psychology and Cognitive psychology.
His study deals with a combination of Neuroscience and Perception.
Nick Chater undertakes interdisciplinary study in the fields of Perception and Neuroscience through his works.
Nick Chater integrates many fields, such as Cognitive science and Linguistics, in his works.
He undertakes multidisciplinary investigations into Linguistics and Cognitive science in his work.
In his study, Nick Chater carries out multidisciplinary Epistemology and Cognition research.
Nick Chater applies his multidisciplinary studies on Cognition and Epistemology in his research.
Nick Chater most often published in these fields:
- Artificial intelligence (57.43%)
- Cognitive psychology (46.04%)
- Neuroscience (43.56%)
What were the highlights of his more recent work (between 2018-2022)?
- Cognitive psychology (50.00%)
- Artificial intelligence (50.00%)
- Social psychology (42.86%)
In recent works Nick Chater was focusing on the following fields of study:
His research in Bootstrapping (finance) tackles topics such as Econometrics which are related to areas like Causal inference.
As part of his studies on Causal inference, Nick Chater often connects relevant areas like Econometrics.
His Law research incorporates a variety of disciplines, including Public relations, Public policy, Law and economics and Suspect.
In his works, Nick Chater conducts interdisciplinary research on Public relations and Law.
Nick Chater applies the principles of Non-monotonic logic, Analytic reasoning and Set (abstract data type) in his work under Programming language.
Nick Chater incorporates Non-monotonic logic and Abductive reasoning in his research.
He undertakes interdisciplinary study in the fields of Abductive reasoning and Logical reasoning through his research.
His research on Logical reasoning often connects related areas such as Epistemology.
Many of his studies on Epistemology involve topics that are commonly interrelated, such as Analytic reasoning.
Between 2018 and 2022, his most popular works were:
- New Paradigms in the Psychology of Reasoning (56 citations)
- Facing up to the uncertainties of COVID-19 (56 citations)
- The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments. (20 citations)
In his most recent research, the most cited works focused on:
- Abductive reasoning
- Bayesian inference
- Psychology of reasoning
Nick Chater is involved in relevant fields of research such as Non-monotonic logic, Set (abstract data type) and Analytic reasoning in the field of Programming language.
His research on Set (abstract data type) frequently links to adjacent areas such as Programming language.
In his works, Nick Chater undertakes multidisciplinary study on Artificial intelligence and Inference.
Nick Chater integrates many fields in his works, including Cognitive psychology and Psychology of reasoning.
Nick Chater integrates Psychology of reasoning with Cognitive science in his study.
Nick Chater performs integrative study on Cognitive science and Neuroscience.
He conducted interdisciplinary study in his works that combined Neuroscience and Cognitive psychology.
His Net (polyhedron) study typically links adjacent topics like Geometry.
His work on Geometry is being expanded to include thematically relevant topics such as Net (polyhedron).
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
