Digested information, a non-semantic motivation for agent-agent interaction

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Abstract

Digested Information is a theory that aims to explain, at the non-semantic level of Information Theory, why it makes sense for one agent to observe another. Based on the formalism of Relevant Information, defined as the minimum amount of information an agent needs in order to determine its optimal strategy, I argue that, following its own motivation, an agent (1) obtains relevant information from the environment (2) displays it in the environment through its own actions, and (3) is likely to display information in a higher density in regard to its bandwidth than other parts of the environment. Furthermore, I argue that this information is also relevant to other, similar, agents and that this could be used to motivate agent-agent interaction (such as observing other agents) in a framework where agent behaviour is determined by information maximisation.
Original languageEnglish
Title of host publicationIn: Procs of the 8th European Conference on Computing and Philosophy
Subtitle of host publicationECAP'10
Number of pages4
Publication statusPublished - 2010
EventProceedings of the 8th European Conference on Computing and Philosophy - Garching, Germany
Duration: 4 Oct 20106 Oct 2010

Conference

ConferenceProceedings of the 8th European Conference on Computing and Philosophy
Country/TerritoryGermany
CityGarching
Period4/10/106/10/10

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