Homeotaxis: Coordination with persistent time-loops

Mikhail Prokopenko*, Astrid Zeman, Rongxin Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

7 Citations (Scopus)


We present a novel approach to self-organisation of coordinated behaviour among multiple resource-sharing agents. We consider a hierarchical multi-agent system comprising multiple energy-dependent agents split into local neighbourhoods, each with a dedicated controller, and a centralised coordinator dealing only with the controllers. The coordinated behaviour is required in order to achieve a balance between the overall resource consumption by the multi-agent collective and the stress on the community. Minimising the resource consumption increases the stress, while reducing the stress may lead to unrestricted and highly unpredictable demand, harming the individual agents in the long-run. We identify underlying forces in the system's dynamics, suggest a number of quantitative measures used to contrast different strategies, and introduce a novel strategy based on persistent sensorimotor time-loops: homeotaxis. Homeotaxis subsumes the homeokinetic principle, extending it both in terms of scope (multi-agent self-organisation) and the state-space, and allows to select the best adaptive strategy for the considered system.

Original languageEnglish
Title of host publicationFrom Animals to Animats 10 - 10th International Conference on Simulation of Adaptive Behavior, SAB 2008, Proceedings
Place of PublicationBerlin; New York
PublisherSpringer, Springer Nature
Number of pages12
Volume5040 LNAI
ISBN (Print)3540691332, 9783540691334
Publication statusPublished - 2008
Externally publishedYes
Event10th International Conference on Simulation of Adaptive Behavior, SAB 2008 - Osaka, Japan
Duration: 7 Jul 200812 Jul 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5040 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349


Other10th International Conference on Simulation of Adaptive Behavior, SAB 2008


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