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2015 | OriginalPaper | Buchkapitel

2. Designing Societies of Robots

verfasst von : Pablo G. Esteban, David Ríos Insua

Erschienen in: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

Verlag: Springer International Publishing

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Abstract

We provide a framework to model competition and cooperation within a group of agents. Competition is dealt with through adversarial risk analysis, which provides a disagreement point and, implicitly, through minimum distance to such point. Cooperation is dealt with through a concept of maximal separation from the disagreement point. Mixtures of both problems are used to refer to in-between behavior. We illustrate the ideas with several experiments in relation with groups of robots.

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Fußnoten
1
This is made to allow for behavior in between cooperation and competition. If \(p=q\), then \(\phi (F,d) = \arg \max (\lambda _{1} - \lambda _2)L_p(x,d)\) which leads to the fully competitive or the fully cooperative solution, depending on the sign of \((\lambda _{1} - \lambda _2)\).
 
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Metadaten
Titel
Designing Societies of Robots
verfasst von
Pablo G. Esteban
David Ríos Insua
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-15144-1_2