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        Nehaniv, C.L. (6)
        Polani, D. (6)
        Capdepuy, P. (4)Klyubin, A.S. (2)Olsson, L. (1)Date Issued
        2007 (6)

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        Information-Theoretic Modeling of Sensory Ecology: Channels of Organism-Specific Meaningful Information 

        Nehaniv, C.L.; Polani, D.; Olsson, L.; Klyubin, A.S. (MIT Press, 2007)
        Information theory developed by C. Shannon and his followers in the mathematical theory of communication surprisingly but successfully abstracted away from two questions: (1) the origin and maintenance of information ...

        Constructing the Basic Umwelt of Artificial Agents: An Information-Theoretic Approach 

        Capdepuy, P.; Polani, D.; Nehaniv, C.L. (2007)

        Construction of an Internal Predictive Model by Event Anticipation 

        Capdepuy, P.; Polani, D.; Nehaniv, C.L. (2007)
        We introduce information-theoretic tools that can be used in an autonomous agent for constructing an internal predictive model based on event anticipation. This model relies on two different kinds of predictive relationships: ...

        Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop 

        Klyubin, A.S.; Polani, D.; Nehaniv, C.L. (2007)
        Sensor evolution in nature aims at improving the acquisition of information from the environment and is intimately related with selection pressure toward adaptivity and robustness. Our work in the area indicates that ...

        Grounding Action-Selection in Event-Based Anticipation 

        Capdepuy, P.; Polani, D.; Nehaniv, C.L. (2007)
        Anticipation is one of the key aspects involved in flexible and adaptive behavior. The ability for an autonomous agent to extract a relevant model of its coupling with the environment and of the environment itself can ...

        Maximization of Potential Information Flow as a Universal Utility for Collective Behaviour 

        Capdepuy, P.; Polani, D.; Nehaniv, C.L. (IEEE, 2007)
        We explore how information theoretic quantities such as potential information flow (empowerment) can be used as a drive toward complex collective behaviour in the context of multi-agent systems. In a first experiment, we ...
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