Computation and cognition: toward a foundation for cognitive science
Computation and cognition: toward a foundation for cognitive science
SOAR: an architecture for general intelligence
Artificial Intelligence
Foundations of cognitive science
Foundations of cognitive science
Foundations of cognitive science
Foundations of cognitive science
Computing in cognitive science
Foundations of cognitive science
Symbolic architectures for cognition
Foundations of cognitive science
Integrating rules and connectionism for robust commonsense reasoning
Integrating rules and connectionism for robust commonsense reasoning
Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
The imperative future: principles of executable temporal logic
The imperative future: principles of executable temporal logic
Temporal semantics of compositional task models and problem solving methods
Data & Knowledge Engineering
Godel, Escher, Bach: An Eternal Golden Braid
Godel, Escher, Bach: An Eternal Golden Braid
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art
Temporal Theories of Reasoning
JELIA '94 Proceedings of the European Workshop on Logics in Artificial Intelligence
Modelling an Agent's Mind and Matter
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
Temporal Semantics of Meta-Level Architectures for Dynamic Control of Reasoning
LOPSTR '94/META '94 Proceedings of the 4th International Workshops on Logic Programming Synthesis and Transformation - Meta-Programming in Logic
Declarative Functionality Descriptions of Interactive Reasoning Modules
PDK '91 Proceedings of the International Workshop on Processing Declarative Knowledge
Reduction Relations for Agent Models
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
On the use of reduction relations to relate different types of agent models
Web Intelligence and Agent Systems
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Relations between mental and physical aspects of an agent can be of various types. Sensing and acting are among the more commonly modelled types. In agent modelling approaches often this is the only interaction between the physical and mental; other possible types of interactions are abstracted away. If it is also taken into account that the agent's mind has a materialization in the form of a brain, the relations between mind and matter may become more complex. An explanation of a dynamic pattern may involve mental aspects, physical aspects, and interactions between mental and physical aspects. An explanatory perspective sometimes advocated for such more complex phenomena is explanatory pluralism. According to this perspective an explanation can consist of parts of a different signature, for example, a partial physical explanation and a partial mentalistic explanation. Each of these partial explanations is insufficient to explain the whole phenomenon, but together they do explain the whole, if some interaction is assumed. How for such explanations the different types of interaction between mind and matter of an agent and the material world can be modelled in a conceptually and semantically sound manner, and how the overall explanation is composed from the parts, using these interactions, is the main topic of this paper. The generic model presented can be used to model, explain and simulate a variety of phenomena in which multiple mind-matter interactions occur, including, for example, sensing and acting, (planned) birth and death, bacterial behaviour, getting brain damage, psychosomatic diseases and applications of direct brain-computer interfaces.