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Lattice Theory in Multi-Agent Systems

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arxiv 2304.02568 v1 pith:4S2OT6AY submitted 2023-04-05 cs.MA eess.SPmath.AT

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keywords multi-agentlaplaciansystemstarskitheoremtheorydatafixed
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In this thesis, we argue that (order-) lattice-based multi-agent information systems constitute a broad class of networked multi-agent systems in which relational data is passed between nodes. Mathematically modeled as lattice-valued sheaves, we initiate a discrete Hodge theory with a Laplace operator, analogous to the graph Laplacian and the graph connection Laplacian, acting on assignments of data to the nodes of a Tarski sheaf. The Hodge-Tarski theorem (the main theorem) relates the fixed point theory of this operator, called the Tarski Laplacian in deference to the Tarski Fixed Point Theorem, to the global sections (consistent global states) of the sheaf. We present novel applications to signal processing and multi-agent semantics and supply a plethora of examples throughout.

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  1. Applied Sheaf Theory For Multi-agent Artificial Intelligence (Reinforcement Learning) Systems: A Prospectus

    math.OC 2025-04 unverdicted novelty 2.0 of 10

    A prospectus that introduces sheaf theory, proposes future research on sheaves for multi-agent AI and RL, and reviews existing sheaf-based coordination frameworks, without presenting a completed model or new results.

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