Tracking Information Flow through the Environment: Simple Cases of Stigmerg

A.S. Klyubin, D. Polani, C.L. Nehaniv

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Downloads (Pure)


Recent work in sensor evolution aims at studying the perception-action loop in a formalized information-theoretic manner. By treating sensors as extracting information and actuators as having the capability to "imprint" information on the environment we can view agents as creating, maintaining and making use of various information flows. In our paper we study the perception-action loop of agents using Shannon information flows. We use information theory to track and reveal the important relationships between agents and their environment. For example, we provide an information-theoretic characterization of stigmergy and evolve finite-state automata as agent controllers to engage in stigmergic communication. Our analysis of the evolved automata and the information flow provides insight into how evolution organizes sensoric information acquisition, implicit internal and external memory, processing and action selection.
Original languageEnglish
Title of host publicationIn: Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems, edited by Pollack, J.
PublisherMIT Press
ISBN (Print)0262661837, 978-0262661836
Publication statusPublished - 2004


Dive into the research topics of 'Tracking Information Flow through the Environment: Simple Cases of Stigmerg'. Together they form a unique fingerprint.

Cite this