Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems

Daniel Polani, Takashi Ikegami, Martin Biehl

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

7 Citations (Scopus)
11 Downloads (Pure)

Abstract

We present some arguments why existing methods for representing agents fall short in applications crucial to artificial life. Using a thought experiment involving a fictitious dynamical systems model of the biosphere we argue that the metabolism, motility, and the concept of counterfactual variation should be compatible with any agent representation in dynamical systems. We then propose an information-theoretic notion of integrated spatiotemporal patterns which we believe can serve as the basic building block of an agent definition. We argue that these patterns are capable of solving the problems mentioned before. We also test this in some preliminary experiments.
Original languageEnglish
Title of host publicationALIFE 2016
Subtitle of host publicationThe Fifteenth International Conference on the Synthesis and Simulation of Living Systems
EditorsCarlos Gershenson, Tom Froese, Jesus M. Siqueiros, Wendy Aguilar, Eduardo J. Izquierdo, Sayama Hiroki
PublisherMIT Press
Pages722-729
Number of pages8
Edition28
ISBN (Electronic)9780262339360
DOIs
Publication statusPublished - 29 Jun 2018
Event15th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2016 - Cancun, Mexico
Duration: 4 Jul 20168 Jul 2016

Publication series

NameProceedings of the Artificial Life Conference 2016, ALIFE 2016

Conference

Conference15th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2016
Country/TerritoryMexico
CityCancun
Period4/07/168/07/16

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