The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Ansatz for dynamical hierarchies
Artificial Life
Artificial Life
Defense of the ansatz for dynamical hierarchies
Artificial Life
Defense of the ansatz for dynamical hierarchies
Artificial Life
Self-assembling dynamical hierarchies
ICAL 2003 Proceedings of the eighth international conference on Artificial life
A Mathematical Theory of Communication
A Mathematical Theory of Communication
On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Reconstruction Failures: Questioning Level Design
Epistemological Aspects of Computer Simulation in the Social Sciences
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We present a novel formal interpretation of dynamical hierarchies based on information theory, in which each level is a near-state-determined system, and levels are related to one another in a partial ordering. This reformulation moves away from previous definitions, which have considered unique hierarchies of structures or objects arranged in aggregates. Instead, we consider hierarchies of dynamical systems: these are more suited to describing living systems, which are not mere aggregates, but organizations. Transformations from lower to higher levels in a hierarchy are redescriptions that lose information. There are two criteria for partial ordering. One is a state-dependence criterion enforcing predictability within a level. The second is a distinctness criterion enforcing the idea that the higher-level description must do more than just throw information away. We hope this will be a useful tool for empirical studies of both computational and physical dynamical hierarchies.