James T Townsend
Biographic Data
| ID | 3821574 |
|---|---|
| NAME | James T Townsend |
| GIVEN NAMES | James T |
| FAMILY NAME | Townsend |
| SIGNATURE | TOWNSEND J T |
| AFFILIATIONS | Indiana University Bloomington |
| ORCID | 0000-0002-1715-0588 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 1983 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 2 |
Information Processing Architectures: Fundamental Issues
The Oxford Handbook of Computational and Mathematical Psychology
A comprehensive and authoritative review on most important developments in computational and mathematical psychology that have impacted many other fields in past decades. Written in tutorial style by leading scientists in each topic area, with an emphasis on examples and applications. Each chapter is self-contained and aims to engage readers with various levels of modeling experience. The Handbook covers the key developments in elementary cogniti…
Oxford Handbook of Computational and Mathematical Psychology
A comprehensive, authoritative review of historical and recent developments in computational and mathematical psychology. Written in an accessible style by leading scientists in each topic area, with an emphasis on examples and applications. Each chapter is self contained and aims to engage readers possessing various levels of modeling experience. For graduate students, researchers, and scholars studying brain science and related fields
Diagonal d′ does not (always) diagnose failure of separability: An addendum to Kingston, Diehl, Kirk, and Castleman (2008)
Multialternative decision field theory: A dynamic connectionst model of decision making.
The authors interpret decision field theory (J. R. Busemeyer & J. T. Townsend, 1993) as a connectionist network and extend it to accommodate multialternative preferential choice situations. This article shows that the classic weighted additive utility model (see R. L. Keeney & H. Raiffa, 1976) and the classic Thurstone preferential choice model (see L. L. Thurstone, 1959) are special cases of this new multialternative decision field theory (MDFT)…
Exploring the relations between categorization and decision making with regard to realistic face stimuli
Categorization and decision making are combined in a task with photorealistic faces. Two different types of face stimuli were assigned probabilistically into one of two fictitious groups; based on the category, faces were further probabilistically assigned to be hostile or friendly. In Part I, participants are asked to categorize a face into one of two categories, and to make a decision concerning interaction. A Markov model of categorization fol…
Basic Response Time Tools for Studying General Processing Capacity in Attention, Perception, and Cognition
One of the more important constructs in the study of attention, perception, and cognition is that of capacity. The authors reviewed some of the common meanings of this construct and proposed a more precise treatment. They showed how the distribution of response times can be used to derive measures of process capacity and to further illustrate how these measures can be used to address important hypotheses in cognition
Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.
Decision field theory provides for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. This theory is used to explain (a) violations of stochastic dominance, (b) violations of strong stochastic transitivity, (c) violations of independence between alternatives, (d) serial position effects on preference, (e) speed-accuracy trade-off effects in decision making, (f) the inverse relation …
Chinese Nationalism
Fundamental derivations from decision field theory
Truth and consequences of ordinal differences in statistical distributions: Toward a theory of hierarchical inference
A theory is presented that establishes a dominance hierarchy of potential distinctions (order relations) between two distributions. It is proposed that it is worthwhile for researchers to ascertain the strongest possible distinction, because all weaker distinctions are logically implied. Implications of the theory for hypothesis testing, theory construction, and scales of measurement are considered. Open problems for future research are outlined
Truth and consequences of ordinal differences in statistical distributions: Toward a theory of hierarchical inference
Measurement scales and statistics: The misconception misconceived
Mathematical models of recognition and confusion in psychology
Mathematical models of recognition and confusion in psychology
Measurement scales and statistics: The misconception misconceived
Truth and consequences of ordinal differences in statistical distributions: Toward a theory of hierarchical inference
A theory is presented that establishes a dominance hierarchy of potential distinctions (order relations) between two distributions. It is proposed that it is worthwhile for researchers to ascertain the strongest possible distinction, because all weaker distinctions are logically implied. Implications of the theory for hypothesis testing, theory construction, and scales of measurement are considered. Open problems for future research are outlined
Truth and consequences of ordinal differences in statistical distributions: Toward a theory of hierarchical inference
Chinese Nationalism
Fundamental derivations from decision field theory
Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.
Decision field theory provides for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. This theory is used to explain (a) violations of stochastic dominance, (b) violations of strong stochastic transitivity, (c) violations of independence between alternatives, (d) serial position effects on preference, (e) speed-accuracy trade-off effects in decision making, (f) the inverse relation …
Exploring the relations between categorization and decision making with regard to realistic face stimuli
Categorization and decision making are combined in a task with photorealistic faces. Two different types of face stimuli were assigned probabilistically into one of two fictitious groups; based on the category, faces were further probabilistically assigned to be hostile or friendly. In Part I, participants are asked to categorize a face into one of two categories, and to make a decision concerning interaction. A Markov model of categorization fol…
Basic Response Time Tools for Studying General Processing Capacity in Attention, Perception, and Cognition
One of the more important constructs in the study of attention, perception, and cognition is that of capacity. The authors reviewed some of the common meanings of this construct and proposed a more precise treatment. They showed how the distribution of response times can be used to derive measures of process capacity and to further illustrate how these measures can be used to address important hypotheses in cognition
Multialternative decision field theory: A dynamic connectionst model of decision making.
The authors interpret decision field theory (J. R. Busemeyer & J. T. Townsend, 1993) as a connectionist network and extend it to accommodate multialternative preferential choice situations. This article shows that the classic weighted additive utility model (see R. L. Keeney & H. Raiffa, 1976) and the classic Thurstone preferential choice model (see L. L. Thurstone, 1959) are special cases of this new multialternative decision field theory (MDFT)…
Diagonal d′ does not (always) diagnose failure of separability: An addendum to Kingston, Diehl, Kirk, and Castleman (2008)
Information Processing Architectures: Fundamental Issues
The Oxford Handbook of Computational and Mathematical Psychology
A comprehensive and authoritative review on most important developments in computational and mathematical psychology that have impacted many other fields in past decades. Written in tutorial style by leading scientists in each topic area, with an emphasis on examples and applications. Each chapter is self-contained and aims to engage readers with various levels of modeling experience. The Handbook covers the key developments in elementary cogniti…
Oxford Handbook of Computational and Mathematical Psychology
A comprehensive, authoritative review of historical and recent developments in computational and mathematical psychology. Written in an accessible style by leading scientists in each topic area, with an emphasis on examples and applications. Each chapter is self contained and aims to engage readers possessing various levels of modeling experience. For graduate students, researchers, and scholars studying brain science and related fields
Psychology (12 works) · Computer Science (11 works) · Mathematics (8 works) · Statistics (8 works) · Cognitive psychology (7 works) · Artificial Intelligence (6 works) · Econometrics (6 works) · Cognitive science (5 works) · Perception (4 works) · Artificial Intelligence (3 works)