Behavior composition problem is particularly relevant for multi-agent systems and aims at building a complex target behavior using several agent behaviors. In this work, we develop a framework that models the agent behaviors in stochastic settings both when the target is represented as a Finite State Machine and when it is represented as an LTLf formula.

Agent Behavior Composition in Stochastic Settings / Silo, Luciana. - (2023), pp. 547-552. (Intervento presentato al convegno EUMAS 2023, European Conference of Multi-Agents Systems Conference tenutosi a Napoli, Università Federico II) [10.1007/978-3-031-43264-4].

Agent Behavior Composition in Stochastic Settings

Luciana Silo
2023

Abstract

Behavior composition problem is particularly relevant for multi-agent systems and aims at building a complex target behavior using several agent behaviors. In this work, we develop a framework that models the agent behaviors in stochastic settings both when the target is represented as a Finite State Machine and when it is represented as an LTLf formula.
2023
EUMAS 2023, European Conference of Multi-Agents Systems Conference
Behavior Composition Markov Decision Processes Decision Theory.
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Agent Behavior Composition in Stochastic Settings / Silo, Luciana. - (2023), pp. 547-552. (Intervento presentato al convegno EUMAS 2023, European Conference of Multi-Agents Systems Conference tenutosi a Napoli, Università Federico II) [10.1007/978-3-031-43264-4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1687748
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