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Künstliche Intelligenz 35(3-4) - Oktober 2021

https://dl.gi.de/handle/20.500.12116/37799
Auflistung nach:

Auflistung Künstliche Intelligenz 35(3-4) - Oktober 2021 nach Autor:in "Behnke, Gregor"

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  • Zeitschriftenartikel
    Do It Yourself, but Not Alone: Companion-Technology for Home Improvement—Bringing a Planning-Based Interactive DIY Assistant to Life
    (KI - Künstliche Intelligenz: Vol. 35, No. 0, 2021) Bercher, Pascal; Behnke, Gregor; Kraus, Matthias; Schiller, Marvin; Manstetten, Dietrich; Dambier, Michael; Dorna, Michael; Minker, Wolfgang; Glimm, Birte; Biundo, Susanne
    We report on the technology transfer project “Do it yourself, but not alone: Companion -Technology for Home Improvement” that was carried out by Ulm University in cooperation with Robert Bosch GmbH. We developed a prototypical assistance system that assists a Do It Yourself (DIY) handyman in carrying out DIY projects. The assistant, based on various AI and dialog management capabilities, generates a sequence of detailed instructions that users may just follow or adapt according to their individual preferences. It features explanation capabilities as well as pro-active support based on communication with the user as well as with the involved tools. We report on the project’s main achievements, including the findings of various empirical studies conducted in various development stages of the prototype.
  • Zeitschriftenartikel
    The PANDA Framework for Hierarchical Planning
    (KI - Künstliche Intelligenz: Vol. 35, No. 0, 2021) Höller, Daniel; Behnke, Gregor; Bercher, Pascal; Biundo, Susanne
    During the last years, much progress has been made in hierarchical planning towards domain-independent systems that come with sophisticated techniques to solve planning problems instead of relying on advice in the input model. Several of these novel methods have been integrated into the PANDA framework , which is a software system to reason about hierarchical planning tasks. Besides solvers for planning problems based on plan space search, progression search, and translation to propositional logic, it also includes techniques for related problems like plan repair, plan and goal recognition, or plan verification. These various techniques share a common infrastructure, like e.g. a standard input language or components for grounding and reachability analysis. This article gives an overview over the PANDA framework, introduces the basic techniques from a high level perspective, and surveys the literature describing the diverse components in detail.