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Part V - Hierarchical Refinement Models

Published online by Cambridge University Press:  19 May 2025

Malik Ghallab
Affiliation:
LAAS-CNRS, Toulouse
Dana Nau
Affiliation:
University of Maryland, College Park
Paolo Traverso
Affiliation:
Fondazione Bruno Kessler, Trento, Italy
Michela Milano
Affiliation:
Università degli Studi, Bologna, Italy
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Summary

This part of the book is devoted to acting, planning, and learning with operational models of actions expressed with a hierarchical task-oriented representation. Operational models are valuable for acting. They allow for detailed descriptions of complex actions handling dynamic environments with exogenous events. The representation relies on hierarchical refinement methods that describe alternative ways to handle tasks and react to events. A method can be any complex algorithm, decomposing a task into subtasks and primitive actions. Subtasks are refined recursively. Actions trigger the execution of sensory-motor procedures in closed loops that query and change the world stochastically.

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Publisher: Cambridge University Press
Print publication year: 2025

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