Time is a crucial factor in modelling dynamic behaviours of intelligent agents: in a real-world environment, activities have a determined temporal duration and the behaviour of agents is influenced by the actions previously taken. In this paper, we propose a language for modelling concurrent interaction between agents that also allows the specification of temporal intervals in which particular actions occur. Such a language exploits a timed version of Abstract Argumentation Frameworks to realise a shared memory used by the agents both to communicate and to reason on the acceptability of their beliefs with respect to a given time interval. An interleaving model on a single processor is used for basic computation steps (with maximal parallelism for time elapsing). Following this approach, at each moment only one of the enabled agents is executed.

Timed Concurrent Language for Argumentation: An Interleaving Approach

Maria Chiara Meo
;
2022-01-01

Abstract

Time is a crucial factor in modelling dynamic behaviours of intelligent agents: in a real-world environment, activities have a determined temporal duration and the behaviour of agents is influenced by the actions previously taken. In this paper, we propose a language for modelling concurrent interaction between agents that also allows the specification of temporal intervals in which particular actions occur. Such a language exploits a timed version of Abstract Argumentation Frameworks to realise a shared memory used by the agents both to communicate and to reason on the acceptability of their beliefs with respect to a given time interval. An interleaving model on a single processor is used for basic computation steps (with maximal parallelism for time elapsing). Following this approach, at each moment only one of the enabled agents is executed.
2022
Lecture Notes in Computer Science
978-3-030-94478-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/765531
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