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Switching tasks and flexible reasoning in the Situation Calculus


  • Alberto Finzi

    () (Università di Napoli "Federico II")

  • Fiora Pirri

    () (Dipartimento di Informatica e Sistemistica "Antonio Ruberti" Sapienza, Universita' di Roma)


In this paper we present a new framework for modelling switching tasks and adaptive, flexible behaviours for cognitive robots. The framework is constructed on a suitable extension of the Situation Calculus, the Temporal Flexible Situation Calculus (TFSC), accommodating Allen temporal intervals, multiple timelines and concurrent situations. We introduce a constructive method to define pattern rules for temporal constraint, in a language of macros. The language of macros intermediates between Situation Calculus formulae and temporal constraint Networks. The programming language for the TFSC is TFGolog, a new Golog interpreter in the Golog family languages, that models concurrent plans with flexible and adaptive behaviours with switching modes. Finally, we show an implementation of a cognitive robot performing different tasks while attentively exploring a rescue environment.

Suggested Citation

  • Alberto Finzi & Fiora Pirri, 2010. "Switching tasks and flexible reasoning in the Situation Calculus," DIS Technical Reports 2010-07, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  • Handle: RePEc:aeg:wpaper:2010-7

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    References listed on IDEAS

    1. A. Felipe & M. Ortuño & G. Tirado, 2009. "New neighborhood structures for the Double Traveling Salesman Problem with Multiple Stacks," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(1), pages 190-213, July.
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