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  • 1
    UID:
    almahu_9947920424502882
    Format: XXXII, 1078 p. , online resource.
    ISBN: 9783540245810
    Series Statement: Lecture Notes in Computer Science, 2903
    Content: Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the “right” it may be advised to move to the “left” and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions–forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.
    Note: Keynote Papers -- Ontology -- Problem Solving -- Knowledge Discovery and Data Mining I -- Knowledge Discovery and Data Milling II -- Expert Systems -- Neural Networks Applications -- Belief Revisioii and Theorem Proving -- Reasoning and Logic -- Machine Learning I -- AI Applications -- Neural Networks -- Intelligent Agents -- Computer Vision -- AI & Medical Applications -- Machine Learning II -- Machilie Learning and Language -- Artificial Intelligence I -- AI \& Business -- Soft Computing -- Language Understanding -- Theory -- Artificial Intelligence II.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540206460
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_749172924
    Format: Online-Ressource (XVI, 1075 p. Also available online) , digital
    Edition: Springer eBook Collection. Computer Science
    ISBN: 9783540245810 , 3540206469 , 9783540206460
    Series Statement: Lecture Notes in Computer Science 2903
    Content: This book constitutes the refereed proceedings of the 16th Australian Conference on Artificial Intelligence, AI 2003, held in Perth, Australia in December 2003. The 87 revised full papers presented together with 4 keynote papers were carefully reviewed and selected from 179 submissions. The papers are organized in topical sections on ontologies, problem solving, knowledge discovery and data mining, expert systems, neural network applications, belief revision and theorem proving, reasoning and logic, machine learning, AI applications, neural computing, intelligent agents, computer vision, medical applications, machine learning and language, AI and business, soft computing, language understanding, and theory
    Note: Literaturangaben
    Additional Edition: ISBN 9783540206460
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783662181102
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783540206460
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almahu_9948621024402882
    Format: XXXII, 1078 p. , online resource.
    Edition: 1st ed. 2003.
    ISBN: 9783540245810
    Series Statement: Lecture Notes in Artificial Intelligence ; 2903
    Content: Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment ("Oracle") which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the "Deterministic Point - cation Problem" which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the "right" it may be advised to move to the "left" and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions-forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.
    Note: Keynote Papers -- Ontology -- Problem Solving -- Knowledge Discovery and Data Mining I -- Knowledge Discovery and Data Milling II -- Expert Systems -- Neural Networks Applications -- Belief Revisioii and Theorem Proving -- Reasoning and Logic -- Machine Learning I -- AI Applications -- Neural Networks -- Intelligent Agents -- Computer Vision -- AI & Medical Applications -- Machine Learning II -- Machilie Learning and Language -- Artificial Intelligence I -- AI \& Business -- Soft Computing -- Language Understanding -- Theory -- Artificial Intelligence II.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783662181102
    Additional Edition: Printed edition: ISBN 9783540206460
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    UID:
    gbv_373890567
    Format: XVI, 1075 S , Ill., graph. Darst
    ISBN: 3540206469
    Series Statement: Lecture notes in computer science 2903
    Note: Literaturangaben
    Additional Edition: Erscheint auch als Online-Ausgabe Gedeon, Tamás D. AI 2003: Advances in Artificial Intelligence Berlin, Heidelberg : Springer Berlin Heidelberg, 2003 ISBN 9783540206460
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Künstliche Intelligenz ; Konferenzschrift ; Konferenzschrift
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    kobvindex_ZLB13586741
    Format: XVI, 1075 Seiten , Ill., graph. Darst.
    ISBN: 3540206469
    Series Statement: Lecture notes in computer science
    Note: Text engl.
    Language: English
    Keywords: Künstliche Intelligenz ; Kongress ; Perth 〈2003〉 ; Kongress ; Konferenzschrift
    Library Location Call Number Volume/Issue/Year Availability
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