University of Hertfordshire

By the same authors

Action and perception for spatiotemporal patterns

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


View graph of relations
Original languageEnglish
Title of host publicationProceedings of the Fourteenth European Conference on Artificial LifeEuropean Conference on Artificial Life (ECAL) 2017
Subtitle of host publicationCreate, play, experiment, discover: revealing the experimental power of virtual worlds
PublisherMIT Press
Number of pages75
ISBN (Print)978-0-262-34633-7
Publication statusPublished - Sep 2017
EventEuropean Conference on Artificial Life 2017: Create, play, experiment, discover: revealing the experimental power of virtual worlds - Lyon Tech Campus, Lyon, France
Duration: 4 Sep 20178 Sep 2017
Conference number: 14th


ConferenceEuropean Conference on Artificial Life 2017
Abbreviated titleECAL 2017
Internet address


This is a contribution to the formalization of the concept of agents in multivariate Markov chains. Agents are commonly defined as entities that act, perceive, and are goal-directed. In a multivariate Markov chain (e.g. a cellular automaton) the transition matrix completely determines the dynamics. This seems to contradict the possibility of acting entities within such a system. Here we present definitions of actions and per- ceptions within multivariate Markov chains based on entity- sets. Entity-sets represent a largely independent choice of a set of spatiotemporal patterns that are considered as all the entities within the Markov chain. For example, the entity- set can be chosen according to operational closure conditions or complete specific integration. Importantly, the perception- action loop also induces an entity-set and is a multivariate Markov chain. We then show that our definition of actions leads to non-heteronomy and that of perceptions specialize to the usual concept of perception in the perception-action loop.

ID: 15052973