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A brain basis of dynamical intelligence for AI and computational neuroscience [article]

Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang
2021 arXiv   pre-print
The deep neural nets of modern artificial intelligence (AI) have not achieved defining features of biological intelligence, including abstraction, causal learning, and energy-efficiency.  ...  This article was inspired by our symposium on dynamical neuroscience and machine learning at the 6th Annual US/NIH BRAIN Initiative Investigators Meeting.  ...  Thus, we must admit the circular causality of dynamical control and action-perception loops that subserve the behavioral teleology of intelligent animals 148, 149 .  ... 
arXiv:2105.07284v2 fatcat:ble5h45pk5fczn72dwco2m3rkm

Introduction. Modelling natural action selection

T. J. Prescott, J. J. Bryson, A. K. Seth
2007 Philosophical Transactions of the Royal Society of London. Biological Sciences  
behaviour (ethology, neurobiology, psychology); and those with building artifacts, real or simulated, that behave appropriately in complex worlds (artificial intelligence, artificial life, and robotics  ...  (iii) the role of perceptual selection in decision-making, and (iv) the interaction of group and individual action selection.  ...  Acknowledgements This theme issue arose as the result of a workshop on ÒModelling Natural Action SelectionÓ held in Edinburgh, in July 2005, part-sponsored by UK Biotechnology and Biological Sciences Research  ... 
doi:10.1098/rstb.2007.2050 pmid:17428783 pmcid:PMC2042525 fatcat:oqmfuhj43zhjnhwnujiddk6dpq

Layered Control Architectures in Robots and Vertebrates

Tony J. Prescott, Peter Redgrave, Kevin Gurney
1999 Adaptive Behavior  
We review recent research in robotics, neuroscience, evolutionary neurobiology, and ethology with the aim of highlighting some points of agreement and convergence.  ...  Specifically, we compare BrooksÕ (1986) subsumption architecture for robot control with research in neuroscience demonstrating layered control systems in vertebrate brains, and with research in ethology  ...  We are grateful to Paul Dean, Max Westby, and John Mayhew, for discussion of the subject matter of this article.  ... 
doi:10.1177/105971239900700105 fatcat:v3avljzmb5bn5e4lcm7ivczsxq

The interaction of cognitive and stimulus–response processes in the control of behaviour

Frederick Toates
1997 Neuroscience and Biobehavioral Reviews  
The interaction of cognitive and stimulus-response processes in the control of behaviour. NEUROSCI BIOBEHAV REV 22(1) 1998.  ...  The proposal that both processes coexist is investigated in the context of the production of behaviour.  ...  ACKNOWLEDGEMENTS I am very grateful to Kent Berridge, Anthony Dickinson and Piet Wiepkema and the referees for their most helpful comments on the manuscript.  ... 
doi:10.1016/s0149-7634(97)00022-5 pmid:9491940 fatcat:g4nt4liu2zdipd6tsx3up64rv4

How higher goals are constructed and collapse under stress: a hierarchical Bayesian control systems perspective [article]

Rutger Goekoop
2020 arXiv   pre-print
We show how such goals are constructed from progressively lesser goal states and that goal hierarchies tend to decompose in a top-down manner under severe and prolonged levels of stress.  ...  The nested hierarchical organization of such networks allows organisms to form increasingly integrated percepts and concepts of their inner and outer context, which can be compared to increasingly encompassing  ...  In the past decade, goal-directed learning has been applied within the context of artificial neural networks [ ].  ... 
arXiv:2004.09426v1 fatcat:d65ej43snbdzta5vunst6vlef4

How higher goals are constructed and collapse under stress: a hierarchical Bayesian control systems perspective

Rutger Goekoop, Roy de Kleijn
2021 Neuroscience and Biobehavioral Reviews  
We show that goal hierarchies tend to decompose in a top-down manner under severe and prolonged levels of stress.  ...  Such systems combine hierarchical perception with hierarchical goal setting and hierarchical action control.  ...  Acknowledgements We thank the reviewers for their constructive comments that added significantly to the quality of the paper.  ... 
doi:10.1016/j.neubiorev.2020.12.021 pmid:33497783 fatcat:cm6o5jo5wfeivgy747epds757a

Emotion understanding: robots as tools and models [chapter]

Lola Cañamero, Philippe Gaussier
2004 Emotional Development:  
and emotionbased action selection and learning architectures.  ...  The work of the Neurocybernetics group has received support from various French research programs, including one Cognitique action, several ACI on computational neurosciences and the teamproject EPML38  ...  In this paradigm, which draws on ideas from biology, ethology and neuroscience, the control architecture is divided into different loops of processes running in parallel and corresponding to the different  ... 
doi:10.1093/acprof:oso/9780198528845.003.0009 fatcat:opyxsqvtq5eodmvgaaopse7hri

Toward the quantification of cognition [article]

Richard Granger
2020 arXiv   pre-print
memory operations, typically formulated in terms of an information store that can be read from and written to, whether via synaptic change, state transition, or recurrent activity.  ...  Most human cognitive abilities, from perception to action to memory, are shared with other species; we seek to characterize those (few) capabilities that are ubiquitously present among humans and absent  ...  Acknowledgments: This work was supported in part by grants from the Office of Naval Research (ONR) and the Defense Advanced Research Projects Agency (DARPA).  ... 
arXiv:2008.05580v1 fatcat:xbbhca7tyffjfd7ts44nip647e

Biolinguistics: forays into human cognitive biology

Cedric Boeckx
2013 Journal of Anthropological Sciences  
It revisits the roots of the field's core research agenda, then turns to the various factors that led to its recent re-emergence, and finally offers suggestions for future inquiry.  ...  The present article surveys the field of biolinguistics.  ...  Acknowledgments For comments and suggestions, I thank Emiliano (FFI-2010-20634) .  ... 
doi:10.4436/jass.91009 pmid:24038628 fatcat:55mdooxhdng4bb5lcvp43dagba

More things than are dreamt of in your biology: Information-processing in biologically inspired robots

A. Sloman, R.L. Chrisley
2005 Cognitive Systems Research  
and artificial agents.  ...  Animals and robots perceiving and acting in a world require an ontology that accommodates entities, processes, states of affairs, etc., in their environment.  ...  Acknowledgements This work was funded by the Leverhulme Trust, and is based in part on earlier collaboration with Brian Logan and Matthias Scheutz, funded by the Trust.  ... 
doi:10.1016/j.cogsys.2004.06.004 fatcat:moyso5npdbfffkzedoktxn5p24

Backwards is the way forward: Feedback in the cortical hierarchy predicts the expected future

Lars Muckli, Lucy S. Petro, Fraser W. Smith
2013 Behavioral and Brain Sciences  
First, on anabstractconceptual level, it provides a unifying framework for perception, action, and cognition (including subdivisions such as attention, expectation, and imagination).  ...  Second, hierarchical prediction offers progress on aconcretedescriptive level for testing and constraining conceptual elements and mechanisms of predictive coding models (estimation of predictions, prediction  ...  For example, work in mobile robotics already demonstrates a variety of concrete ways in which perception and behavior productively interact via loops through action and the environment: loops that may  ... 
doi:10.1017/s0140525x12002361 pmid:23663531 fatcat:d7iicta6qfau5cb3znkiwtk4g4

Whatever next? Predictive brains, situated agents, and the future of cognitive science

2013 Behavioral and Brain Sciences  
Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to adaptive success.  ...  This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action.  ...  For example, work in mobile robotics already demonstrates a variety of concrete ways in which perception and behavior productively interact via loops through action and the environment: loops that may  ... 
doi:10.1017/s0140525x12000477 pmid:23663408 fatcat:k7kqhjt5vngdfjftnixoef5bxq

Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver

Andy Clark
2013 Behavioral and Brain Sciences  
In assessing the attractions and pitfalls of the proposal we should keep that element distinct from larger, though interlocking, issues concerning the nature of adaptive organization in general.  ...  AbstractThe target article sketched and explored a mechanism (action-oriented predictive processing) most plausibly associated with core forms of cortical processing.  ...  For example, work in mobile robotics already demonstrates a variety of concrete ways in which perception and behavior productively interact via loops through action and the environment: loops that may  ... 
doi:10.1017/s0140525x12002440 pmid:23814868 fatcat:7dwe5kt5hzeztegieyetaronfa

Attention is more than prediction precision

Howard Bowman, Marco Filetti, Brad Wyble, Christian Olivers
2013 Behavioral and Brain Sciences  
AbstractA cornerstone of the target article is that, in a predictive coding framework, attention can be modelled by weighting prediction error with a measure of precision.  ...  We argue that this is not a complete explanation, especially in the light of ERP (event-related potentials) data showing large evoked responses for frequently presented target stimuli, which thus are predicted  ...  For example, work in mobile robotics already demonstrates a variety of concrete ways in which perception and behavior productively interact via loops through action and the environment: loops that may  ... 
doi:10.1017/s0140525x12002324 pmid:23663435 fatcat:hrinlk77vbgtnifunk5tdkhn5i

The Computational Boundary of a "Self": Developmental Bioelectricity Drives Multicellularity and Scale-Free Cognition

Michael Levin
2019 Frontiers in Psychology  
for evolutionary developmental biology but also for biomedicine and perhaps artificial intelligence and exobiology.  ...  Biological individuals consist of subunits (organs, cells, and molecular networks) that are themselves complex and competent in their own native contexts.  ...  Clearly, much more work is needed to fully flesh out this rubric in a way that makes it immediately applicable in ethology, AI, and artificial life.  ... 
doi:10.3389/fpsyg.2019.02688 pmid:31920779 pmcid:PMC6923654 fatcat:o5ebxridanbhzha4m4kselmesy
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