Modelling Natural Action Selection

doi:10.1017/CBO9780511731525

Action selection is the task of doing the right thing at the right time. It requires the assessment of available alternatives, executing those most appropriate, and resolving conflicts among competing goals and possibilities. Using advanced computational modelling, this book explores cutting-edge research into action selection in nature from a wide range of disciplines, from neuroscience to behavioural ecology, and even political science. It delivers new insights into both detailed and systems-level attributes of natural intelligence and demonstrates advances in methodological practice. Contributions from leading researchers cover issues including whether biological action selection is optimal, neural substrates for action selection in the vertebrate brain, perceptual selection in decision making, and interactions between group and individual action selection. This first integrated review of action selection in nature contains a balance of review and original research material, consolidating current knowledge into a valuable reference for researchers while illustrating potential paths for future studies.

'… the volume could make the basis for a terrific interdisciplinary graduate seminar, or serve as a means for postdoctoral researchers to get into a related field …'

Marc Mangel Source: The Quarterly Review of Biology

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Contents

Frontmatter
pp i-iv
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Contents
pp v-vii
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Foreword
pp viii-x
- By Peter M. Todd
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Preface
pp xi-xi
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Contributors
pp xii-xvi
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1 - General introduction
pp 1-4
- By Anil K. Seth, Joanna J. Bryson, Tony J. Prescott
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Part I - Rational and optimal decision making
pp 5-6
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2 - Introduction to Part I: rational and optimal decision making
pp 7-11
- By Anil K. Seth, Tony J. Prescott, Joanna J. Bryson
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3 - Do we expect natural selection to produce rational behaviour?
pp 12-36
- By Alasdair I. Houston, John M. McNamara, Mark D. Steer
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4 - Optimised agent-based modelling of action selection
pp 37-60
- By Anil K. Seth
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5 - Compromise strategies for action selection
pp 61-90
- By Frederick L. Crabbe
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6 - Extending a biologically inspired model of choice: multi-alternatives, nonlinearity, and value-based multidimensional choice
pp 91-119
- By Rafal Bogacz, Marius Usher, Jiaxiang Zhang, James L. McClelland
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7 - Bayesian approaches to modelling action selection
pp 120-143
- By Max Berniker, Kunlin Wei, Konrad Körding
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8 - Post-retrieval inhibition in sequential memory search1
pp 144-166
- By Eddy J. Davelaar
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Part II - Computational neuroscience models
pp 167-168
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9 - Introduction to Part II: computational neuroscience models
pp 169-175
- By Tony J Prescott, Joanna J. Bryson, Anil K. Seth
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10 - Action selection and refinement in subcortical loops through basal ganglia and cerebellum
pp 176-207
- By James C. Houk
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11 - Cortical mechanisms of action selection: the affordance competition hypothesis
pp 208-238
- By Paul Cisek
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12 - Toward an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system
pp 239-263
- By Thomas E Hazy, Michael J. Frank, Randall C. O’Reilly
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13 - Hierarchically organised behaviour and its neural foundations: a reinforcement-learning perspective
pp 264-299
- By Matthew M. Botvinick, Yael Niv, Andrew G. Barto
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14 - The medial reticular formation: a brainstem substrate for simple action selection?
pp 300-329
- By Mark D. Humphries, Kevin N. Gurney, Tony J Prescott
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15 - Understanding decision-making deficits in neurological conditions: insights from models of natural action selection
pp 330-362
- By Michael J. Frank, Anouk Scheres, Scott J. Sherman
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16 - Biologically constrained action selection improves cognitive control in a model of the Stroop task
pp 363-389
- By Tom Stafford, Kevin N. Gurney
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17 - Mechanisms of choice in the primate brain: a quick look at positive feedback
pp 390-418
- By Jonathan M. Chambers, Kevin N. Gurney, Mark D. Humphries, Tony J. Prescott
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Part III - Action selection in social contexts
pp 419-420
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18 - Introduction to Part III: action selection in social contexts
pp 421-426
- By Joanna J. Bryson, Tony J. Prescott, Anil K. Seth
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19 - Agent-based models as scientific methodology: a case study analysing the DomWorld theory of primate social structure and female dominance
pp 427-453
- By Joanna J. Bryson, Yasushi Ando, Hagen Lehmann
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20 - An agent-based model of group decision making in baboons
pp 454-476
- By Russell A. Hill, Brian S. Logan, William I. Sellers, Julian Zappala
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21 - Endogenous birth and death of political parties in dynamic party competition
pp 477-499
- By Michael Laver, Ernest Sergenti, Michel Schilperoord
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22 - On optimal decision making in brains and social insect colonies
pp 500-522
- By James A. R Marshall, Rafal Bogacz, Anna Dornhaus, Robert Planqué, Tim Kovacs, Nigel R Franks
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