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  • Artikel  (4)
  • artificial intelligence
  • Springer  (4)
  • American Association for the Advancement of Science
  • Wiley
  • 2000-2004  (4)
  • Informatik  (4)
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  • Artikel  (4)
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  • Springer  (4)
  • American Association for the Advancement of Science
  • Wiley
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  • 1
    Digitale Medien
    Digitale Medien
    Rethinking Autonomy (2000)
    Springer
    Minds and machines 10 (2000), S. 15-30 
    Details
    ISSN: 1572-8641
    Schlagwort(e): autonomy ; building systems ; users ; practice ; everyday activity ; artificial intelligence ; cognitive science
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Informatik , Philosophie
    Notizen: Abstract This paper explores the assumption of autonomy. Several arguments are presented against the assumption of runtime autonomy as a principle of design for artificial intelligence systems. The arguments vary from being theoretical, to practical, and to analytic. The latter parts of the paper focus on one strategy for building non-autonomous systems (the practice view). One critical theme is that intelligence is not located in the system alone, it emerges from a history of interactions among user, builder, and designer over a given set of data as mediated by the system. A second critical theme is that artificially intelligent systems are ongoing projects that must be continuously adapted and revised using joint person-machine efforts.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1023/A:1008351215377
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
    Digitale Medien
    Digitale Medien
    A Symbolic Approach To Uncertainty Management (2000)
    Springer
    Applied intelligence 13 (2000), S. 265-283 
    Details
    ISSN: 1573-7497
    Schlagwort(e): artificial intelligence ; uncertainty representation ; qualitative reasoning ; uncertainty management ; ignorance ; belief ; entropy ; many-valued logic
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Informatik
    Notizen: Abstract In this paper, we present a new symbolic approach to deal with the uncertainty encountered in common-sense reasoning. This approach enables us to represent the uncertainty by using linguistic expressions of the interval [Certain, Totally uncertain]. The original uncertainty scale that we use here, presents some advantages over other scales in the representation and in the management of the uncertainty. The axioms of our theory are inspired by Shannon's entropy theory and built on the substrate of a symbolic many-valued logic. So, the uncertainty management in the symbolic logic framework leads to new generalizations of classical inference rules.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1023/A:1026572211922
    Standort Signatur Erwartet Verfügbarkeit
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  • 3
    Digitale Medien
    Digitale Medien
    Animals, Zombanimals, and the Total Turing Test (2000)
    Springer
    Journal of logic, language and information 9 (2000), S. 397-418 
    Details
    ISSN: 1572-9583
    Schlagwort(e): artificial intelligence ; consciousness ; persons ; robots ; zombies
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Allgemeine und vergleichende Sprach- und Literaturwissenschaft. Indogermanistik. Außereuropäische Sprachen und Literaturen , Informatik
    Notizen: Abstract Alan Turing devised his famous test (TT) through a slight modificationof the parlor game in which a judge tries to ascertain the gender of twopeople who are only linguistically accessible. Stevan Harnad hasintroduced the Total TT, in which the judge can look at thecontestants in an attempt to determine which is a robot and which aperson. But what if we confront the judge with an animal, and arobot striving to pass for one, and then challenge him to peg which iswhich? Now we can index TTT to a particular animal and its syntheticcorrelate. We might therefore have TTTrat, TTTcat,TTTdog, and so on. These tests, as we explain herein, are abetter barometer of artificial intelligence (AI) than Turing's originalTT, because AI seems to have ammunition sufficient only to reach thelevel of artificial animal, not artificial person.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1023/A:1008311207953
    Standort Signatur Erwartet Verfügbarkeit
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  • 4
    Digitale Medien
    Digitale Medien
    Artificial Intelligence and Environmental Decision Support Systems (2000)
    Springer
    Applied intelligence 13 (2000), S. 77-91 
    Details
    ISSN: 1573-7497
    Schlagwort(e): environmental decision support systems ; artificial intelligence ; problem solving
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Informatik
    Notizen: Abstract An effective protection of our environment is largely dependent on the quality of the available information used to make an appropriate decision. Problems arise when the quantities of available information are huge and nonuniform (i.e., coming from many different disciplines or sources) and their quality could not be stated in advance. Another associated issue is the dynamical nature of the problem. Computers are central in contemporary environmental protection in tasks such as monitoring, data analysis, communication, information storage and retrieval, so it has been natural to try to integrate and enhance all these tasks with Artificial Intelligence knowledge-based techniques. This paper presents an overview of the impact of Artificial Intelligence techniques on the definition and development of Environmental Decision Support Systems (EDSS) during the last fifteen years. The review highlights the desirable features that an EDSS must show. The paper concludes with a selection of successful applications to a wide range of environmental problems.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1023/A:1008331413864
    Standort Signatur Erwartet Verfügbarkeit
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