Abstract
We consider a system modeled as a set of interacting components evolving along time according to explicit timing constraints. The decision making problem consists in selecting and organizing actions in order to reach a goal state in a limited time and in an optimal manner, assuming actions have a cost. We propose to reformulate the planning problem in terms of model-checking and controller synthesis such that the state to reach is expressed using a temporal logic. We have chosen to represent each agent using the formalism of Priced Timed Game Automata (PTGA) and a set of knowledge. PTGA is an extension of Timed Automata that allows the representation of cost on actions and the definition of a goal (to reach or to avoid). This paper describes two algorithms designed to answer the planning problem on a network of agents and proposes practical implementation using model-checking tools that shows promising results on an agricultural application: a grassland based dairy production system.
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Notes
- 1.
PaturMata can be freely downloaded from the website: http://people.irisa.fr/Christine.Largouet/paturmata.html.
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Largouet, C., Zhao, Y., Cordier, MO. (2016). Searching for Cost-Optimized Strategies: An Agricultural Application. In: Liu, S., Delibašić, B., Oderanti, F. (eds) Decision Support Systems VI - Addressing Sustainability and Societal Challenges. ICDSST 2016. Lecture Notes in Business Information Processing, vol 250. Springer, Cham. https://doi.org/10.1007/978-3-319-32877-5_3
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