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  Reasoning about complex actions, in (1998) [2 citations — 0 self]

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by Steffen Holldobler, Hans--peter Storr
Proc. of NMR’98 – Action and Causality
http://www.inf.tu-dresden.de/~hs3/pub/./hoelld:stoerr:98esslli.ps.gz
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Abstract:

Many problems addressed within the field of Cognitive Robotics and related areas can only be solved by complex plans including conditional and recursive actions as well as non--deterministic choice operators. In this paper we present a planning language which allows for the specification of complex plans. We define its semantics and give a provably complete and correct completed equational logic program with an unification complete equational theory. The approach is independent of the representation of states; they may be sets of propositional fluents as in the situation calculus or multisets of resources as in the fluent calculus. Finally, we give an instantiation within the fluent calculus. 1

Citations

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401 Golog: A logic programming language for dynamic domains – Levesque, Reiter, et al. - 1997
166 Situations, actions and causal laws – McCarthy
156 What is planning in the presence of sensing – Levesque - 1996
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76 Execution monitoring of high-level robot programs – Giacomo, Reiter, et al. - 1998
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26 A New Logical Framework for Deductive Planning – Stephan, Biundo - 1993
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4 Bedingte und Rekursive Aktionen im Fluent{Kalkul – Storr - 1997
4 Golog and linear logic programming – White - 1998
3 A conceptual foundation for autonomous learning in unforeseen situations – Kennedy - 1998
1 ac1match([sb],S,). A.3 Query To check that the plan egg2saucer solves the problem for the case of three bad eggs and one good egg the Prolog interpreter has to prove :- nat(N), "+ planfails([eb,eb,eg,eb], [egg2saucer],N). This yields the answer N = 1 – fail, ac1match