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Morse, Anthony
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Publications (10 of 13) Show all publications
Morse, A. F., Herrera, C., Clowes, R., Montebelli, A. & Ziemke, T. (2011). The role of robotic modelling in cognitive science. New ideas in psychology, 29(3), 312-324
Open this publication in new window or tab >>The role of robotic modelling in cognitive science
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2011 (English)In: New ideas in psychology, ISSN 0732-118X, E-ISSN 1873-3522, Vol. 29, no 3, p. 312-324Article in journal (Refereed) Published
Abstract [en]

From the perspective of cognitive robotics, this paper presents a modern interpretation of Newell’s (1973) reasoning and suggestions for why and how cognitive psychologists should develop models of cognitive phenomena. We argue that the shortcomings of current cognitive modelling approaches are due in significant part to a lack of exactly the kind of integration required for the development of embodied autonomous robotics. Moreover we suggest that considerations of embodiment, situatedness, and autonomy, intrinsic to cognitive robotics, provide an appropriate basis for the integration and theoretic cumulation that Newell argued was necessary for psychology to mature. From this perspective we analyse the role of embodiment and modes of situatedness in terms of integration, cognition, emotion, and autonomy. Four complementary perspectives on embodied and situated cognitive science are considered in terms of their potential to contribute to cognitive robotics, cognitive science, and psychological theorizing: minimal cognition and organization, enactive perception and sensorimotor contingency, homeostasis and emotion, and social embedding. In combination these perspectives provide a framework for cognitive robotics, not only wholly compatible with the original aims of cognitive modelling, but as a more appropriate methodology than those currently in common use within psychology.

Place, publisher, year, edition, pages
Elsevier, 2011
Keywords
Autonomy, Cognitve modelling, Cognitive robotics, Ebodiment, Emotion, Enaction
National Category
Engineering and Technology
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-5194 (URN)000292127000009 ()2-s2.0-79956122033 (Scopus ID)
Available from: 2011-07-04 Created: 2011-07-04 Last updated: 2017-12-11Bibliographically approved
Morse, A. F., Lowe, R. & Ziemke, T. (2009). A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies. In: Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre (Ed.), Anticipatory Behavior in Adaptive Learning systems, ABiALS 2008: . Paper presented at 4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, Munich, Germany, June 26-27, 2008 (pp. 152-169). Berlin, Heidelberg: Springer Berlin/Heidelberg
Open this publication in new window or tab >>A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies
2009 (English)In: Anticipatory Behavior in Adaptive Learning systems, ABiALS 2008 / [ed] Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre, Berlin, Heidelberg: Springer Berlin/Heidelberg, 2009, p. 152-169Conference paper, Published paper (Refereed)
Abstract [en]

Anticipation and prediction have been identified as key functions of many brain areas facilitating recognition, perception, and planning. In this chapter we present a hierarchical neurocomputational model in which feedback, effectively predicting or anticipating task-relevant features, leads to sustained inattentional blindness. A psychological experiment on sustained inattentional blindness in human subjects is simulated to provide visual input to a hierarchy of Echo State Networks. Other parts of the model receive input relevant to tracking the attended object and also detecting the unexpected object, feedback from which is then used to simulate engagement in the task and compared to results obtained without feedback, simulating passive observation. We find a significant effect of anticipation enhancing performance at the task and simultaneously degrading detection of unexpected features, thereby modelling the sustained inattentional blindness effect. We therefore suggest that anticipatory /predictive mechanisms are responsible for sustained inattentional blindness.

Place, publisher, year, edition, pages
Berlin, Heidelberg: Springer Berlin/Heidelberg, 2009
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 5499 LNAI
Keywords
Enaction, Anticipation, Prediction, Neurocomputation, Reservoir Systems, Association, Sustained Inattentional Blindness, Neural Modelling, Cortical Hierarchies
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3539 (URN)10.1007/978-3-642-02565-5_9 (DOI)000269259700009 ()2-s2.0-70349322598 (Scopus ID)978-3-642-02564-8 (ISBN)978-3-642-02565-5 (ISBN)3-642-02564-1 (ISBN)
Conference
4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, Munich, Germany, June 26-27, 2008
Available from: 2010-01-07 Created: 2010-01-07 Last updated: 2018-01-12Bibliographically approved
Morse, A. F. & Ziemke, T. (2009). Action, Detection, and Perception: A Computational Model of the Relation Between Movement and Orientation Selectivity in the Cerebral Cortex. In: Niels Taatgen & Hedderik van Rijn (Ed.), Proceedings of the Thirty-First Annual Conferenceof theCognitive Science Society: . Paper presented at The 31th Annual Conference of the Cognitive Science Society, July 29-August 1, 2009, Vrije Universiteit, Amsterdam, Netherlands (pp. 585-590). Cognitive Science Society, Inc.
Open this publication in new window or tab >>Action, Detection, and Perception: A Computational Model of the Relation Between Movement and Orientation Selectivity in the Cerebral Cortex
2009 (English)In: Proceedings of the Thirty-First Annual Conferenceof theCognitive Science Society / [ed] Niels Taatgen & Hedderik van Rijn, Cognitive Science Society, Inc., 2009, p. 585-590Conference paper, Published paper (Refereed)
Abstract [en]

A fundamental tenet of enactive theories of cognition states that action is a necessary prerequisite to perception. In this paper we review the basis for this assumption and, with the help of a computational model of the famous Held and Hein kitten experiments, challenge the necessity of movement in subsequent detection. In normal development action does play an important role in setting up detection, but we aim here to widen our conceptions and consider the effect of correlations between non-motoric events.

Place, publisher, year, edition, pages
Cognitive Science Society, Inc., 2009
Keywords
Action, detection, perception, enaction, actionism, embodiment, computational modeling, cortical hierarchy
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3549 (URN)978-0-9768318-5-3 (ISBN)
Conference
The 31th Annual Conference of the Cognitive Science Society, July 29-August 1, 2009, Vrije Universiteit, Amsterdam, Netherlands
Available from: 2010-01-07 Created: 2010-01-07 Last updated: 2018-01-12Bibliographically approved
Morse, A. & Aktius, M. (2009). Dynamic liquid association: Complex learning without implausible guidance. Neural Networks, 22(7), 875-889
Open this publication in new window or tab >>Dynamic liquid association: Complex learning without implausible guidance
2009 (English)In: Neural Networks, ISSN 0893-6080, E-ISSN 1879-2782, Vol. 22, no 7, p. 875-889Article in journal (Refereed) Published
Abstract [en]

Simple associative networks have many desirable properties, but are fundamentally limited by their inability to accurately capture complex relationships. This paper presents a solution significantly extending the abilities of associative networks by using an untrained dynamic reservoir as an input filter. The untrained reservoir provides complex dynamic transformations, and temporal integration, and can be viewed as a complex non-linear feature detector from which the associative network can learn. Typically reservoir systems utilize trained single layer perceptrons to produce desired output responses. However given that both single layer perceptions and simple associative learning have the same computational limitations, i.e. linear separation, they should perform similarly in terms of pattern recognition ability. Further to this the extensive psychological properties of simple associative networks and the lack of explicit supervision required for associative learning motivates this extension overcoming previous limitations. Finally, we demonstrate the resulting model in a robotic embodiment, learning sensorimotor contingencies, and matching a variety of psychological data. (C) 2008 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2009
Identifiers
urn:nbn:se:his:diva-7799 (URN)10.1016/j.neunet.2008.10.008 (DOI)000270524500004 ()2-s2.0-69449104579 (Scopus ID)
Available from: 2013-03-28 Created: 2013-03-21 Last updated: 2017-12-06Bibliographically approved
Morse, A. F., Lowe, R. & Ziemke, T. (2009). Manipulating space: modelling the role of transient dynamics in inattentional blindness. Connection science (Print), 21(4), 275-296
Open this publication in new window or tab >>Manipulating space: modelling the role of transient dynamics in inattentional blindness
2009 (English)In: Connection science (Print), ISSN 0954-0091, E-ISSN 1360-0494, Vol. 21, no 4, p. 275-296Article in journal (Refereed) Published
Abstract [en]

According to Noë´s enactive theory of perception, sensorimotor knowledge allows us to predict the sensory outcomes of our actions. This paper suggests that tuning input filters with such predictions may be the cause of sustained inattentional blindness. Most models of learning capture statistically salient regularities in and between data streams. Such analysis is, however, severely limited by both the problem of marginal regularity and the credit assignment problem. A neurocomputational reservoir system can be used to alleviate these problems without training by enhancing the separability of regularities in input streams. However, as the regularities made separable vary with the state of the reservoir, feedback in the form of predictions of future sensory input can both enchance expected discriminations and hinder unanticipated ones. This renders the model blind to features not made separable in the regions of state space the reservoir in manipulated towards. This is demonstrated in a computational model of sustained inattentional blindness, leading to predictions about human behaviour that have yet to be tested.

Place, publisher, year, edition, pages
Taylor & Francis, 2009
Keywords
sensorimotor learning, inattentional blindness, linear separation, transient dynamics, anticipation, enactive perception, reservoir systems
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3534 (URN)10.1080/09540090902924025 (DOI)000274672200001 ()2-s2.0-77951664843 (Scopus ID)
Available from: 2010-01-04 Created: 2010-01-04 Last updated: 2018-01-12Bibliographically approved
Svensson, H., Morse, A. F. & Ziemke, T. (2009). Neural Pathways of Embodied Simulation. In: Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre (Ed.), Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems. Paper presented at 4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, Munich, Germany, June 26-27, 2008 (pp. 95-114). Springer Berlin/Heidelberg
Open this publication in new window or tab >>Neural Pathways of Embodied Simulation
2009 (English)In: Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems / [ed] Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre, Springer Berlin/Heidelberg, 2009, p. 95-114Conference paper, Published paper (Refereed)
Abstract [en]

Simulation theories have in recent years proposed that a cognitiveagent's "inner world" can at least partly be constituted by internal emulations or simulations of its sensorimotor interaction with the world, i.e. covert perception and action. This paper further integrates simulation theory with the notion of the brain as a predictive machine. In particular, it outlines the neural pathways of covert simulations, which include implicit anticipation in cerebellar and basal gangliar circuits, bodily anticipation by means of forward models in the cerebellum, and environmental anticipation in the neocortex. The paper also discusses, to some extent, possible implications of the neural pathways of covert simulation for the frame problem, and the relation between procedural and declarative knowledge in covert simulations.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2009
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 5499
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3540 (URN)10.1007/978-3-642-02565-5_6 (DOI)000269259700006 ()2-s2.0-70349306443 (Scopus ID)978-3-642-02564-8 (ISBN)978-3-642-02565-5 (ISBN)
Conference
4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, Munich, Germany, June 26-27, 2008
Available from: 2010-01-07 Created: 2010-01-07 Last updated: 2018-01-12Bibliographically approved
Svensson, H., Morse, A. & Ziemke, T. (2009). Representation as Internal Simulation: A Minimalistic Robotic Model. In: Niels Taatgen & Hedderik van Rijn (Ed.), Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society: . Paper presented at The 31th Annual Conference of the Cognitive Science Society, July 29-August 1, 2009, Vrije Universiteit, Amsterdam, Netherlands (pp. 2890-2895). Cognitive Science Society, Inc.
Open this publication in new window or tab >>Representation as Internal Simulation: A Minimalistic Robotic Model
2009 (English)In: Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society / [ed] Niels Taatgen & Hedderik van Rijn, Cognitive Science Society, Inc., 2009, p. 2890-2895Conference paper, Published paper (Refereed)
Abstract [en]

Embodied cognition theorists have in recent years proposed that a cognitive agent's "representations" or "inner world" can at least partly be constituted by internal emulations or simulations of its sensorimotor interaction with the world, i.e. covert perception and action. This paper recapitulates some of the empirical evidence, distinguishes between implicit, internal and external anticipation, and discusses possible neural correlates. Furthermore a robotic neurocomputational model of external anticipation is presented and analyzed.

Place, publisher, year, edition, pages
Cognitive Science Society, Inc., 2009
Keywords
Anticipation, Emulation theory, Inner world, Simulation theory
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3457 (URN)978-0-9768318-5-3 (ISBN)
Conference
The 31th Annual Conference of the Cognitive Science Society, July 29-August 1, 2009, Vrije Universiteit, Amsterdam, Netherlands
Available from: 2009-10-20 Created: 2009-10-20 Last updated: 2018-01-12Bibliographically approved
Lowe, R., Philippe, P., Montebelli, A., Morse, A. & Ziemke, T. (2008). Affective Modulation of Embodied Dynamics. In: Robert Lowe, Anthony Morse, Tom Ziemke (Ed.), The role of emotion in adaptive behaviour and cognitive robotics: . Paper presented at SAB ’08 workshop, Osaka, Japan, 11-12 July 2008 (pp. 48-64).
Open this publication in new window or tab >>Affective Modulation of Embodied Dynamics
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2008 (English)In: The role of emotion in adaptive behaviour and cognitive robotics / [ed] Robert Lowe, Anthony Morse, Tom Ziemke, 2008, p. 48-64Conference paper, Published paper (Refereed)
Identifiers
urn:nbn:se:his:diva-7047 (URN)
Conference
SAB ’08 workshop, Osaka, Japan, 11-12 July 2008
Available from: 2013-01-24 Created: 2013-01-24 Last updated: 2017-11-27Bibliographically approved
Lowe, R., Morse, A. & Ziemke, T. (2008). Predictive Regulation: Allostasis, Behavioural Flexibility and Fear Learning. In: Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre (Ed.), Proceedings of The Fourth Workshop on Anticipatory Behavior in Adaptive Learning Systems, Muncih, june 26th, 2008. Paper presented at The Fourth Workshop on Anticipatory Behavior in Adaptive Learning Systems, Muncih, june 26th, 2008. Istituto di Scienze e Tecnologie della Cognizione - CNR
Open this publication in new window or tab >>Predictive Regulation: Allostasis, Behavioural Flexibility and Fear Learning
2008 (English)In: Proceedings of The Fourth Workshop on Anticipatory Behavior in Adaptive Learning Systems, Muncih, june 26th, 2008 / [ed] Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre, Istituto di Scienze e Tecnologie della Cognizione - CNR , 2008Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
Istituto di Scienze e Tecnologie della Cognizione - CNR, 2008
Identifiers
urn:nbn:se:his:diva-7268 (URN)
Conference
The Fourth Workshop on Anticipatory Behavior in Adaptive Learning Systems, Muncih, june 26th, 2008
Available from: 2013-02-20 Created: 2013-02-20 Last updated: 2017-11-27
Morse, A., Lowe, R. & Ziemke, T. (2008). Towards an Enactive Cognitive Architecture. Paper presented at International Conference on Cognitive Systems (CogSys 2008), University of Karlsruhe, Karlsruhe, Germany, April 2-4, 2008.
Open this publication in new window or tab >>Towards an Enactive Cognitive Architecture
2008 (English)Conference paper, Oral presentation only (Refereed)
Identifiers
urn:nbn:se:his:diva-7274 (URN)
Conference
International Conference on Cognitive Systems (CogSys 2008), University of Karlsruhe, Karlsruhe, Germany, April 2-4, 2008
Available from: 2013-02-22 Created: 2013-02-22 Last updated: 2017-11-27
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