Now showing items 11-20 of 34
Information-Theoretic Modeling of Sensory Ecology: Channels of Organism-Specific Meaningful Information
(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 ...
Construction of an Internal Predictive Model by Event Anticipation
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
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
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
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 ...
Relevant information in optimized persistence vs. progeny strategies
(MIT Press, 2006)
Sensor Adaptation and Development in Robots by Entropy Maximization of Sensory Data
A method is presented for adapting the sensors of a robot to the statistical structure of its current environment. This enables the robot to compress incoming sensory information and to find informational relationships ...