The why, what, where, when and how of goal-directed choice: neuronal and computational principles

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• dc.contributor.author Verschure, Paul F. M. J.
• dc.contributor.author Pennartz, Cyriel
• dc.contributor.author Pezzulo, Giovanni
• dc.date.accessioned 2025-01-21T07:41:44Z
• dc.date.available 2025-01-21T07:41:44Z
• dc.date.issued 2014
• dc.description.abstract The central problems that goal-directed animals must solve are: ‘What do I need and Why, Where and When can this be obtained, and How do I get it?' or the H4W problem. Here, we elucidate the principles underlying the neuronal solutions to H4W using a combination of neurobiological and neurorobotic approaches. First, we analyse H4W from a system-level perspective by mapping its objectives onto the Distributed Adaptive Control embodied cognitive architecture which sees the generation of adaptive action in the real world as the primary task of the brain rather than optimally solving abstract problems. We next map this functional decomposition to the architecture of the rodent brain to test its consistency. Following this approach, we propose that the mammalian brain solves the H4W problem on the basis of multiple kinds of outcome predictions, integrating central representations of needs and drives (e.g. hypothalamus), valence (e.g. amygdala), world, self and task state spaces (e.g. neocortex, hippocampus and prefrontal cortex, respectively) combined with multi-modal selection (e.g. basal ganglia). In our analysis, goal-directed behaviour results from a well-structured architecture in which goals are bootstrapped on the basis of predefined needs, valence and multiple learning, memory and planning mechanisms rather than being generated by a singular computation.en
• dc.description.sponsorship Research funded by the EU FP7 framework under grant agreements no. FP7-ICT-270108 (Goal-Leaders), FP7-ICT-270490 (EFAA), FP7-ICT-612139 (WYSIWYD), ERC-341196 (CDAC) and FP7-ICT-601167 (CSN II).en
• dc.format.mimetype application/pdf
• dc.identifier.citation Verschure PFMJ, Pennartz CMA, Pezzulo G. The why, what, where, when and how of goal-directed choice: neuronal and computational principles. Philos Trans R Soc Lond B Biol Sci. 2014 Nov 5;369(1655):20130483. DOI: 10.1098/rstb.2013.0483
• dc.identifier.doi http://dx.doi.org/10.1098/rstb.2013.0483
• dc.identifier.issn 0962-8436
• dc.identifier.uri http://hdl.handle.net/10230/69218
• dc.language.iso eng
• dc.publisher Royal Society
• dc.relation.ispartof Philosophical Transactions of the Royal Society Lond B Biological Science. 2014 Nov 5;369(1655):20130483
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/270108
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/601167
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/341196
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/612139
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/270490
• dc.rights © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Goal-directed behaviouren
• dc.subject.keyword Distributed adaptive controlen
• dc.subject.keyword Computational modellingen
• dc.subject.keyword Embodied cognitionen
• dc.subject.keyword Rewarden
• dc.subject.keyword Decision-makingen
• dc.title The why, what, where, when and how of goal-directed choice: neuronal and computational principlesen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion