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Auflistung nach Schlagwort "Planning"

1 - 6 von 6
  • Zeitschriftenartikel
    A Survey of Multi-Agent Decision Making
    (KI - Künstliche Intelligenz: Vol. 28, No. 3, 2014) Bulling, Nils
    In this article we give a high-level overview of various aspects relevant to multi-agent decision making. Classical decision theory makes the start. Then, we introduce multi-agent decision making, focussing on game theory, complex decision making, and on intelligent agents. Afterwards, we discuss methods for reaching agreements interactively, e.g. by negotiation, bargaining, and argumentation, followed by approaches to coordinate and to control agents’ decision making.
  • Workshopbeitrag
    Adaptive predictive-questionnaire by approximate dynamic-programming
    (Mensch und Computer 2020 - Workshopband, 2020) Logé, Frédéric; Le Pennec, Erwan; Amadou-Boubacar, Habiboulaye
    As too much interaction can be detrimental to user experience, we investigate the computation of a smart questionnaire for a prediction task. Given time and budget constraints (maximum questions asked), this questionnaire will select adaptively the question sequence based on answers already given. Several use-cases with increased user and customer experience are given. The problem is framed as a Markov Decision Process and solved numerically with approximate dynamic programming, exploiting the hierarchical and episodic structure of the problem. The approach, evaluated on toy models and classic supervised learning datasets, outperforms two baselines: a decision tree with budget constraint and a model with best features systematically asked.
  • Zeitschriftenartikel
    Companion-Technology for Cognitive Technical Systems
    (KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Biundo, Susanne; Wendemuth, Andreas
    We introduce the Transregional Collaborative Research Centre “Companion-Technology for Cognitive Technical Systems”—a cross-disciplinary endeavor towards the development of an enabling technology for Companion-systems. These systems completely adjust their functionality and service to the individual user. They comply with his or her capabilities, preferences, requirements, and current needs and adapt to the individual’s emotional state and ambient conditions. Companion-like behavior of technical systems is achieved through the investigation and implementation of cognitive abilities and their well-orchestrated interplay.
  • Zeitschriftenartikel
    Hybride Datenbankarchitekturen am Beispiel der neuen SAP In-Memory-Technologie
    (Datenbank-Spektrum: Vol. 10, No. 2, 2010) Färber, Franz; Jäcksch, Bernhard; Lemke, Christian; Große, Philipp; Lehner, Wolfgang
    Die Verfügbarkeit neuer Technologien wie Multi-Core, SSD oder große Hauptspeicherkapazitäten bieten eine Gelegenheit, die klassischen Architekturansätze von Datenbanksystemen zu überdenken und an bestimmten Stellen zu korrigieren. In diesem Beitrag stellen wir die Grobstruktur der neuen hauptspeicherzentrierten SAP Technologie als einen Ansatz einer kommerziellen Umsetzung moderner Architekturkonzepte vor. Zentrales Design-Kriterium ist dabei ein hybrider Ansatz, um eine möglichst hohe Anzahl von Anforderungsvarianten optimal zu unterstützen.Nach einer Einleitung führt der Artikel durch die wichtigsten Architekturkomponenten und illustriert den grundsätzlichen Aufbau des Systems. Für einen „deep dive“ werden zwei Bereiche in Teil 3 und 4 des Artikels im Detail diskutiert. Dabei greift der Artikel zum einen den Aspekt der physischen Optimierung im Kontext eines hauptspeicherzentrierten Systems auf und diskutiert unterschiedliche Komprimierungs- und Sortierungskriterien, wie sie im klassischen disk-zentrierten Ansatz nicht zu finden sind. Zum anderen wird die Unterstützung von Planungsanwendungen skizziert, wodurch ein Einblick in die spezifische Unterstützung einer Anwendungsdomäne („business planning“) und die prinzipiellen Erweiterungen für komplexe Operationen zur direkten Unterstützung von darauf aufbauender Planungsfunktionalität gezeigt werden.
  • Zeitschriftenartikel
    Intelligent Questionnaires Using Approximate Dynamic Programming
    (i-com: Vol. 19, No. 3, 2021) Logé, Frédéric; Pennec, Erwan Le; Amadou-Boubacar, Habiboulaye
    Inefficient interaction such as long and/or repetitive questionnaires can be detrimental to user experience, which leads us to investigate the computation of an intelligent questionnaire for a prediction task. Given time and budget constraints (maximum q questions asked), this questionnaire will select adaptively the question sequence based on answers already given. Several use-cases with increased user and customer experience are given.

    The problem is framed as a Markov Decision Process and solved numerically with approximate dynamic programming, exploiting the hierarchical and episodic structure of the problem. The approach, evaluated on toy models and classic supervised learning datasets, outperforms two baselines: a decision tree with budget constraint and a model with q best features systematically asked. The online problem, quite critical for deployment seems to pose no particular issue, under the right exploration strategy.

    This setting is quite flexible and can incorporate easily initial available data and grouped questions.

  • Zeitschriftenartikel
    Search Challenges in Natural Language Generation with Complex Optimization Objectives
    (KI - Künstliche Intelligenz: Vol. 30, No. 1, 2016) Demberg, Vera; Hoffmann, Jörg; Howcroft, David M.; Klakow, Dietrich; Torralba, Álvaro
    Automatic natural language generation (NLG) is a difficult problem already when merely trying to come up with natural-sounding utterances. Ubiquituous applications, in particular companion technologies, pose the additional challenge of flexible adaptation to a user or a situation. This requires optimizing complex objectives such as information density, in combinatorial search spaces described using declarative input languages. We believe that AI search and planning is a natural match for these problems, and could substantially contribute to solving them effectively. We illustrate this using a concrete example NLG framework, give a summary of the relevant optimization objectives, and provide an initial list of research challenges.