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A.: Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions. Autonomous Agents and Multi-Agent Systems
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In: http://www.cs.vu.nl/~wai/Papers/JAAMAS12ASCRIBE.pdf (2012)
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A Cognitive Agent Model for Simulation-Based Mindreading and Empathic Understanding
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In: http://www.few.vu.nl/%7Ezamemon/pubs/IJHCS10empathy.pdf (2009)
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An Adaptive Agent Model for Emotion Reading by Mirroring Body States and Hebbian Learning
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In: http://www.few.vu.nl/~tbosse/papers/PRIMA09-emreading.pdf (2009)
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An Ambient Agent Model for Automated Mindreading by Identifying and Monitoring Representation Relations
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In: http://www.cs.vu.nl/%7Esharp/papers/petra2008.pdf (2008)
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Modelling the Dynamics of Reasoning Processes: Reasoning by Assumption
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In: http://www.cs.vu.nl/~wai/Papers/CSR02assump.pdf (2003)
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Putting Intentions into Cell Biochemistry: An Artificial Intelligence Perspective
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In: http://www.cs.vu.nl/~wai/Papers/JTB02statbdi.pdf (2002)
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Temporal Modelling of Intentional Dynamics
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In: http://www.cs.vu.nl/~wai/Papers/ICCS01.int.pdf (2001)
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A Computational Cognitive Model for Intentional Inhibition of Actions
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In: http://www.few.vu.nl/~wai/Papers/ICCS13intinhibit.pdf
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Temporal and Interactionist Perspectives on the Dynamics of Mental States
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In: http://www.cs.vu.nl/~wai/Papers/ICCS01.dyncog.pdf
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Abstract:
This paper contributes trace semantics and a temporal trace language to provide a grounding and formalisation of the dynamics of mental states in relation to the dynamics of the interaction with the external world. The approach provides a foundation for the dynamical and interactionist perspective on cognitive phenomena. 1. INTRODUCTION In recent literature on cognitive science and philosophy of mind, perspectives on cognitive functioning are proposed, where dynamics and interaction with the environment are central; e.g. (Bickhard, 1993; Clark, 1997; Port and van Gelder, 1995; Clapin et al., 2000; Christensen and Hooker, 2000). For example, (Bickhard, 1993) emphasises the relation between the (mental) state of a system (or agent) and its past and future in the interaction with its environment: `When interaction is completed, the system will end in some one of its internal states - some of its possible final states. (.) The final state that the systems ends up in
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Keyword:
environment are central
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URL: http://www.cs.vu.nl/~wai/Papers/ICCS01.dyncog.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.2028
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Modelling the Dynamics of Reasoning Processes: Reasoning by Assumption
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In: http://www.cs.vu.nl/~wai/Papers/CSR02assump.ps
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A Cognitive and Neural Model for Adaptive Emotion Reading by Mirroring Preparation States and Hebbian Learning
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In: http://www.few.vu.nl/%7Ewai/Papers/CSR10adapemreading.pdf
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| 12 |
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Modeling Situation Awareness in Human-Like Agents Using Mental Models
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In: http://ijcai.org/papers11/Papers/IJCAI11-285.pdf
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An Ambient Agent Model for Automated Mindreading by Identifying and Monitoring Representation Relations
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In: http://www.cs.vu.nl/~wai/Papers/PETRA08reprel.pdf
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