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Switching tasks and flexible reasoning in the Situation Calculus

Author

Listed:
  • Alberto Finzi

    (Università di Napoli "Federico II")

  • Fiora Pirri

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

Abstract

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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