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. ( 20th European Conference on Multi-Agent Systems, EUMAS 2023 Napoli; Italia ) [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.File allegati a questo prodotto
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