Modeling Agents’ Choices in Temporal Linear Logic
Decision-making is a fundamental feature of agent systems. Agents need to respond to requests from other agents, to react to environmental changes, and to prioritize and pursue their goals. Such decisions can have ongoing effects, as the future behavior of an agent may be heavily dependent on choices made earlier. In this paper we investigate a formal framework for modeling the choices of an agent. In particular, we show how the use of a choices calculus based on temporal linear logic can be used to capture distribution, temporal and dependency aspects of choices.
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