English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This is a contribution to the formalization of the concept of agents inmultivariate Markov chains. Agents are commonly defined as entities that act,perceive, and are goal-directed. In a multivariate Markov chain (e.g. acellular automaton) the transition matrix completely determines the dynamics.This seems to contradict the possibility of acting entities within such asystem. Here we present definitions of actions and perceptions withinmultivariate Markov chains based on entity-sets. Entity-sets represent alargely independent choice of a set of spatiotemporal patterns that areconsidered as all the entities within the Markov chain. For example, theentity-set can be chosen according to operational closure conditions orcomplete specific integration. Importantly, the perception-action loop alsoinduces an entity-set and is a multivariate Markov chain. We then show that ourdefinition of actions leads to non-heteronomy and that of perceptionsspecialize to the usual concept of perception in the perception-action loop.

Action and perception for spatiotemporal patterns