Policies for constraining the behaviour of coalitions of agents in the context of algebraic information theory
November 28, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Christopher Goddard
arXiv ID
1912.00803
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.GT
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This article takes an oblique sidestep from two previous papers, wherein an approach to reformulation of game theory in terms of information theory, topology, as well as a few other notions was indicated. In this document a description is provided as to how one might determine an approach for an agent to choose a policy concerning which actions to take in a game that constrains behaviour of subsidiary agents. It is then demonstrated how these results in algebraic information theory, together with previous investigations in geometric and topological information theory, can be unified into a single cohesive framework.
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