The principles of goal-directed decision-making: from neural mechanisms to computation and robotics
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Human reward systems reflect changing goals and subgoals.
“At the highest level of the decision making and control hierarchy, human reward systems reflect changing goals and subgoals”
From Toward an integration of deep learning and neuroscience (2016) · cites this paper as Pezzulo et al., 2014
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Active Inference, homeostatic regulation and adaptive behavioural control
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“This ability to generate fictive sequences of states (Johnson and Redish, 2007; Pfeiffer and Foster, 2013) has been interpreted in terms of reactivation in the context of generative models (Penny et al., 2013; Pezzulo et al., 2014a, 2013).”
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- Authors
- Pezzulo, G., Verschure, P. F. M. J., Balkenius, C., & Pennartz, C. M. A.
- Affiliations
- National Research Council (IT)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Lund University (SE)
- University of Amsterdam (NL)
- Venue
- Philosophical Transactions of the Royal Society B Biological Sciences
- Publisher
- The Royal Society
- Published
- 2014-11-05
- Volume
- 369
- Issue
- 1655
- Pages
- 20130470
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC4186224
- OpenAlex
- W2115980207
- Cited by
- 35
- References
- 41
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 3 · 2023: 1 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 3 · 2015: 7
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- goal-directed decision making, neural mechanisms, computational model, robotics, reinforcement learning, action selection, motor control
- MeSH terms
- Decision Making, Goals, Humans, Neurosciences, Robotics
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