Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Value Alignment Equilibrium in Multiagent Systems   Value alignment has emerged in recent years as a basic principle to produce
beneficial and mindful Artificial Intelligence systems. It mainly states that
autonomous entities should behave in a way that is aligned with our human
values. In this work, we summarize a previously developed model that considers
values as preferences over states of the world and defines alignment between
the governing norms and the values. We provide a use-case for this framework
with the Iterated Prisoner's Dilemma model, which we use to exemplify the
definitions we review. We take advantage of this use-case to introduce new
concepts to be integrated with the established framework: alignment equilibrium
and Pareto optimal alignment. These are inspired on the classical Nash
equilibrium and Pareto optimality, but are designed to account for any value we
wish to model in the system.

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The categories of this paper are: cond-mat
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc
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The categories of this paper are: q-bio
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The categories of this paper are: stat
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The categories of this paper are: q-alg
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The categories of this paper are: supr-con
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The categories of this paper are: eess
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The categories of this paper are: solv-int
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-fin
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The categories of this paper are: quant-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph