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We present some arguments why existing methods for representing agents fallshort in applications crucial to artificial life. Using a thought experimentinvolving a fictitious dynamical systems model of the biosphere we argue thatthe metabolism, motility, and the concept of counterfactual variation should becompatible with any agent representation in dynamical systems. We then proposean information-theoretic notion of \emph{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 mentionedbefore. We also test this in some preliminary experiments.

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