Meaningful Information, Sensor Evolution, and the Temporal Horizon of Embodied Organisms
Title | Meaningful Information, Sensor Evolution, and the Temporal Horizon of Embodied Organisms |
Publication Type | Conference Paper |
Year of Publication | 2002 |
Authors | Nehaniv, CL, Polani, D, Dautenhahn, K, te Boekhorst, R, Cañamero, L |
Editor | Standish, R, Bedau, MA, Abbass, HA |
Name of Proceedings | Artificial Life VIII: Proceedings of the Eighth International Conference on Artificial Life |
Pagination | 345–349 |
Publisher | MIT Press |
Conference Location | Sydney, Australia |
ISBN Number | 9780262692816 |
Abstract | We survey and outline how an agent-centered, information-theoretic approach to meaningful information extending classical Shannon information theory by means of utility measures relevant for the goals of particular agents can be applied to sensor evolution for real and constructed organisms. Furthermore, we discuss the relationship of this approach to the programme of freeing artificial life and robotic systems from reactivity, by describing useful types of information with broader temporal horizon, for signaling, communication, affective grounding, two-process learning, individual learning, imitation and social learning, and episodic experiential information (memories, narrative, and culturally transmitted information). |