Modelling Natural Action Selection

By: Anil K. Seth (Editor), Tony J. Prescott (Editor), Joanna J. Bryson (Editor)

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Hardcover | 10 November 2011 | Edition Number 1

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570 Pages

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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.

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'... 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, The Quarterly Review of Biology

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Foreword	p. viii
Preface	p. xi
List of contributors	p. xii
General introduction	p. 1
Rational and optimal decision making
Introduction to Part I: rational and optimal decision making	p. 7
Do we expect natural selection to produce rational behaviour?	p. 12
Optimised agent-based modelling of action selection	p. 37
Compromise strategies for action selection	p. 61
Extending a biologically inspired model of choice: multi-alternatives, nonlinearity, and value-based multidimensional choice	p. 91
Bayesian approaches to modelling action selection	p. 120
Post-retrieval inhibition in sequential memory search	p. 144
Computational neuroscience models
Introduction to Part II: computational neuroscience models	p. 169
Action selection and refinement in subcortical loops through basal ganglia and cerebellum	p. 176
Cortical mechanisms of action selection: the affordance competition hypothesis	p. 208
Toward an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system	p. 239
Hierarchically organised behaviour and its neural foundations: a reinforcement-learning perspective	p. 264
The medial reticular formation: a brainstem substrate lor simple action selection?	p. 300
Understanding decision-making deficits in neurological conditions: insights from models of natural action selection	p. 330
Biologically constrained action selection improves cognitive control in a model of the Stroop task	p. 363
Mechanisms of choice in the primate brain: a quick look at positive feedback	p. 390
Action selection in social contexts
Introduction to Part III: action selection in social contexts	p. 421
Agent-based models as scientific methodology: a case study analysing the DomWorld theory of primate social structure and female dominance	p. 427
An agent-based model of group decision making in baboons	p. 454
Endogenous birth and death of political parties in dynamic party competition	p. 477
On optimal decision making in brains and social insect colonies	p. 500
State-dependent foraging rules for social animals in selfish herds	p. 523
Index	p. 538
Table of Contents provided by Ingram. All Rights Reserved.

Modelling Natural Action Selection

At a Glance

Hardcover

Industry Reviews

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