Think globally, sense locally : From local information to global features

Harder, M., Polani, D. and Nehaniv, C.L. (2011) Think globally, sense locally : From local information to global features. In: Procs of 2011 IEEE Symposium on Artificial Life (ALIFE) :. Symposium Series on Computational Intelligence (1st). Institute of Electrical and Electronics Engineers (IEEE), FRA, pp. 70-77. ISBN 978-1-61284-062-8
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Shannon's information theory can be used to quantify morphological and topological features of a collective of agents in an arbitrary environment. In particular the ability of individual agents to extract information locally about global features of the collective can be quantified. Here, we considered chains of agents in a grid world. The agents are equipped with local sensors. We then quantified the amount of information the sensors contain about certain features global to the chain. Furthermore, we compared the amount of locally available information to the amount of information the whole collective could in principle acquire about a feature in different contexts.
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Date Deposited 15 May 2025 16:22
Last Modified 30 May 2025 23:10

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