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Auflistung nach Autor:in "Furbach, Ulrich"

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  • Konferenzbeitrag
    CAMPUS NEWS - an Information Network for Pervasive Universities
    (Informatik 2007 – Informatik trifft Logistik – Band 1, 2007) Furbach, Ulrich; Maron, Markus; Read, Kevin
    In this paper we describe a network for distributing personalized Information within a pervasive University. We discuss the system architecture of our Bluetooth-based CampusNews-system, both, from the administrator and the user viewpoint. We furthermore present first statistical data about the usage of the partial installation at the Koblenz campus together with an outlook to future work.
  • Zeitschriftenartikel
    Cognitive Reasoning: A Personal View
    (KI - Künstliche Intelligenz: Vol. 33, No. 3, 2019) Furbach, Ulrich; Hölldobler, Steffen; Ragni, Marco; Schon, Claudia; Stolzenburg, Frieder
    The adjective cognitive especially in conjunction with the word computing seems to be a trendy buzzword in the artificial intelligence community and beyond nowadays. However, the term is often used without explicit definition. Therefore we start with a brief review of the notion and define what we mean by cognitive reasoning . It shall refer to modeling the human ability to draw meaningful conclusions despite incomplete and inconsistent knowledge involving among others the representation of knowledge where all processes from the acquisition and update of knowledge to the derivation of conclusions must be implementable and executable on appropriate hardware. We briefly introduce relevant approaches and methods from cognitive modeling, commonsense reasoning, and subsymbolic approaches. Furthermore, challenges and important research questions are stated, e.g., developing a computational model that can compete with a (human) reasoner on problems that require common sense.
  • Zeitschriftenartikel
    Consciousness: Just Another Technique?
    (KI - Künstliche Intelligenz: Vol. 35, No. 0, 2021) Barthelmeß, Ulrike; Furbach, Ulrich
    This note is intended as a contribution to the discussion whether artificial systems can have consciousness. Based on the notion of Tononi’s Information Integration Theory we will argue, that AI systems that have to reason with large knowledge bases need such techniques in order to handle them efficiently. We furthermore discuss mind-wandering and creativity on this basis.
  • Konferenzbeitrag
    Do we need Asimov's Laws?
    (INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt, 2013) Barthelmess, Ulrike; Furbach, Ulrich
    In this essay the stance on robots is discussed. The attitude against robots in history, starting in Ancient Greek culture until the industrial revolution is described. The uncanny valley and some possible explanations are given. Some differences in Western and Asian understanding of robots are listed and finally we answer the ques- tion raised with the title.
  • Zeitschriftenartikel
    Formation of a Research Discipline Artificial Intelligence and Intellectics at the Technical University of Munich
    (KI - Künstliche Intelligenz: Vol. 34, No. 1, 2020) Bibel, Wolfgang; Furbach, Ulrich
    Academic Computer Science emerged in Germany at the end of the 1960s. In 2017, the Munich universities celebrated “50 Years of Computer Science in Munich”. To this occasion various events were held; also, there was a special issue in the Informatik Spektrum, the official journal of the Gesellschaft für Informatik e.V. (GI – the German Society for Computer Science) and of associated organizations, as well as an anthology on Computer Science in Munich [ 1 ]. One year later, the present authors published a tribute to the research group for Artificial Intelligence/Intellectics at the TUM in a volume of the Deutsche Museum’s Preprints series [ 2 ], of which the present article is a very brief summary—for much more detailed information and impressions of former group members please refer to this booklet. The Munich group for Artificial Intelligence/Intellectics came into being thanks to academic freedom at German universities, in this case the Technical University of Munich (TUM): A single young scientist is enthusiastic about an idea, a new idea, which has not yet been worked on or supported by any professor at the TUM: Artificial Intelligence or Intellectics. The scientist initiates relationships with other colleagues, nationally and internationally; he is successful, receives research funding, and establishes a research group that asserted itself over almost four decades and influenced and advanced the field. The present article provides a brief history of the group.
  • Zeitschriftenartikel
    Interview with Professor Hector Levesque, University of Toronto
    (KI - Künstliche Intelligenz: Vol. 33, No. 3, 2019) Furbach, Ulrich
  • Zeitschriftenartikel
    Künstliche Intelligenz
    (Informatik-Spektrum: Vol. 34, No. 5, 2011) Furbach, Ulrich
  • Zeitschriftenartikel
    Logic-Based Question Answering
    (KI - Künstliche Intelligenz: Vol. 24, No. 1, 2010) Furbach, Ulrich; Glöckner, Ingo; Helbig, Hermann; Pelzer, Björn
    Question answering systems aim to provide concise and correct responses to arbitrary questions, communicating with the user in a natural language. This way they help making the knowledge of large textual sources accessible in an intuitive manner which goes beyond the capabilities of conventional search engines. In the LogAnswer project the universities of Hagen and Koblenz cooperate to build a German language question answering system which combines computational linguistics and automated reasoning to deduce answers from a knowledge base derived from Wikipedia.
  • Zeitschriftenartikel
    Neue Medien? – Neue Uni!
    (KI - Künstliche Intelligenz: Vol. 26, No. 3, 2012) Furbach, Ulrich
  • Zeitschriftenartikel
    The RatioLog Project: Rational Extensions of Logical Reasoning
    (KI - Künstliche Intelligenz: Vol. 29, No. 3, 2015) Furbach, Ulrich; Schon, Claudia; Stolzenburg, Frieder; Weis, Karl-Heinz; Wirth, Claus-Peter
    Higher-level cognition includes logical reasoning and the ability of question answering with common sense. The RatioLog project addresses the problem of rational reasoning in deep question answering by methods from automated deduction and cognitive computing. In a first phase, we combine techniques from information retrieval and machine learning to find appropriate answer candidates from the huge amount of text in the German version of the free encyclopedia “Wikipedia”. In a second phase, an automated theorem prover tries to verify the answer candidates on the basis of their logical representations. In a third phase—because the knowledge may be incomplete and inconsistent—we consider extensions of logical reasoning to improve the results. In this context, we work toward the application of techniques from human reasoning: We employ defeasible reasoning to compare the answers w.r.t. specificity, deontic logic, normative reasoning, and model construction. Moreover, we use integrated case-based reasoning and machine learning techniques on the basis of the semantic structure of the questions and answer candidates to learn giving the right answers.