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Switching tasks and flexible reasoning in the Situation Calculus

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Author Info

  • Alberto Finzi

    () (Università di Napoli "Federico II")

  • Fiora Pirri

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

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    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.

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    File URL: http://www.dis.uniroma1.it/~bibdis/RePEc/aeg/wpaper/2010-07.pdf
    File Function: First version, 2010
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    Bibliographic Info

    Paper provided by Department of Computer, Control and Management Engineering, Università degli Studi di Roma "La Sapienza" in its series DIS Technical Reports with number 2010-07.

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    Date of creation: Aug 2010
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    Handle: RePEc:aeg:wpaper:2010-7

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    Related research

    Keywords: Cognitive robotics; executive control; cognitive control; switching tasks; adaptive and flexible behaviours; Situation Calculus; action perception and change; temporal planning.;

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