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  • 1
    UID:
    b3kat_BV035880583
    Format: 1 Online-Ressource (VI, 227 S.)
    ISBN: 3540180818 , 0387180818
    Series Statement: Lecture notes in computer science 265
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Lernendes System ; Induktive Logik ; Lernendes System ; Analogie ; Künstliche Intelligenz ; Induktion ; Inferenzsystem ; Analogie ; Lernendes System ; Analogieschluss ; Analogieschluss ; Künstliche Intelligenz ; Inferenzsystem ; Induktion ; Künstliche Intelligenz ; Logik ; Induktionsschluss ; Künstliche Intelligenz ; Lernendes System ; Algorithmus ; Konferenzschrift
    Author information: Jantke, Klaus P. 1951-
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  • 2
    UID:
    gbv_595130585
    Format: Online-Ressource (VI, 227 S.)
    Edition: Online-Ausg. Berlin [u.a.] Springer 2006 Springer lecture notes archive
    ISBN: 9783540477396
    Series Statement: Lecture notes in computer science 265
    Content: Towards the development of an analysis of learning algorithms -- Using the algorithm of analogy for generation of robot programs -- On the inference of sequences of functions -- Fixed point equations as hypotheses in inductive reasoning -- Inductive inference of functions from noised observations -- Reasoning by analogy as a partial identity between models -- Can missing information be also useful? -- A decidability problem of church-rosser specifications for program synthesis -- Some considerations about formalization of analogical reasoning -- Analogical reasoning using graph transformations -- Knowledge acquisition by inductive learning from examples -- On the inference of programs approximately computing the desired function -- Stratified inductive hypothesis generation -- A model theoretic oriented approach to analogy -- On the complexity of effective program synthesis -- On barzdin's conjecture.
    Content: This volume contains revised versions of presentations at the International Workshop on Analogical and Inductive Inference (AII '86) held in Wendisch-Rietz, GDR, October 16-10, 1986. Inductive inference and analogical reasoning are two basic approaches to learning algorithms. Both allow for exciting problems and promising concepts of invoking deeper mathematical results for considerable advances in intelligent software systems. Hence analogical and inductive inference may be understood as a firm mathematical basis for a large variety of problems in artificial intelligence. While the papers on inductive inference contain technical results and reflect the state of the art of this well-developed mathematical theory, those devoted to analogical reasoning reflect the ongoing process of developing the basic concepts of the approach. The workshop thus contributes significantly to the advancement of this field.
    Note: Literaturangaben
    Additional Edition: ISBN 3540180818
    Additional Edition: ISBN 0387180818
    Additional Edition: ISBN 9783540180814
    Additional Edition: Erscheint auch als Druck-Ausgabe Analogical and inductive inference Berlin [u.a.] : Springer, 1987 ISBN 3540180818
    Additional Edition: ISBN 0387180818
    Language: English
    Keywords: Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    Author information: Jantke, Klaus P. 1951-
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  • 3
    UID:
    almafu_BV000704113
    Format: VI, 227 S.
    ISBN: 3-540-18081-8 , 0-387-18081-8
    Series Statement: Lecture notes in computer science 265
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Lernendes System ; Induktive Logik ; Lernendes System ; Analogie ; Künstliche Intelligenz ; Induktion ; Inferenzsystem ; Analogie ; Lernendes System ; Analogieschluss ; Analogieschluss ; Künstliche Intelligenz ; Inferenzsystem ; Induktion ; Künstliche Intelligenz ; Logik ; Induktionsschluss ; Künstliche Intelligenz ; Lernendes System ; Algorithmus ; Konferenzschrift ; Konferenzschrift
    Author information: Jantke, Klaus P. 1951-
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  • 4
    UID:
    almahu_9947920999402882
    Format: VIII, 232 p. , online resource.
    ISBN: 9783540477396
    Series Statement: Lecture Notes in Computer Science, 265
    Content: This volume contains revised versions of presentations at the International Workshop on Analogical and Inductive Inference (AII '86) held in Wendisch-Rietz, GDR, October 16-10, 1986. Inductive inference and analogical reasoning are two basic approaches to learning algorithms. Both allow for exciting problems and promising concepts of invoking deeper mathematical results for considerable advances in intelligent software systems. Hence analogical and inductive inference may be understood as a firm mathematical basis for a large variety of problems in artificial intelligence. While the papers on inductive inference contain technical results and reflect the state of the art of this well-developed mathematical theory, those devoted to analogical reasoning reflect the ongoing process of developing the basic concepts of the approach. The workshop thus contributes significantly to the advancement of this field.
    Note: Towards the development of an analysis of learning algorithms -- Using the algorithm of analogy for generation of robot programs -- On the inference of sequences of functions -- Fixed point equations as hypotheses in inductive reasoning -- Inductive inference of functions from noised observations -- Reasoning by analogy as a partial identity between models -- Can missing information be also useful? -- A decidability problem of church-rosser specifications for program synthesis -- Some considerations about formalization of analogical reasoning -- Analogical reasoning using graph transformations -- Knowledge acquisition by inductive learning from examples -- On the inference of programs approximately computing the desired function -- Stratified inductive hypothesis generation -- A model theoretic oriented approach to analogy -- On the complexity of effective program synthesis -- On barzdin's conjecture.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540180814
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9948621519502882
    Format: VIII, 232 p. , online resource.
    Edition: 1st ed. 1987.
    ISBN: 9783540477396
    Series Statement: Lecture Notes in Computer Science, 265
    Content: This volume contains revised versions of presentations at the International Workshop on Analogical and Inductive Inference (AII '86) held in Wendisch-Rietz, GDR, October 16-10, 1986. Inductive inference and analogical reasoning are two basic approaches to learning algorithms. Both allow for exciting problems and promising concepts of invoking deeper mathematical results for considerable advances in intelligent software systems. Hence analogical and inductive inference may be understood as a firm mathematical basis for a large variety of problems in artificial intelligence. While the papers on inductive inference contain technical results and reflect the state of the art of this well-developed mathematical theory, those devoted to analogical reasoning reflect the ongoing process of developing the basic concepts of the approach. The workshop thus contributes significantly to the advancement of this field.
    Note: Towards the development of an analysis of learning algorithms -- Using the algorithm of analogy for generation of robot programs -- On the inference of sequences of functions -- Fixed point equations as hypotheses in inductive reasoning -- Inductive inference of functions from noised observations -- Reasoning by analogy as a partial identity between models -- Can missing information be also useful? -- A decidability problem of church-rosser specifications for program synthesis -- Some considerations about formalization of analogical reasoning -- Analogical reasoning using graph transformations -- Knowledge acquisition by inductive learning from examples -- On the inference of programs approximately computing the desired function -- Stratified inductive hypothesis generation -- A model theoretic oriented approach to analogy -- On the complexity of effective program synthesis -- On barzdin's conjecture.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783662184783
    Additional Edition: Printed edition: ISBN 9783540180814
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    gbv_1649206941
    Format: Online-Ressource
    ISBN: 9783540477396
    Series Statement: Lecture Notes in Computer Science 265
    Additional Edition: ISBN 9783540180814
    Additional Edition: Buchausg. u.d.T. Wendisch-Rietz, GDR, Oct. 6-10, 1986 1987 ISBN 3540180818
    Additional Edition: ISBN 0387180818
    Language: English
    Subjects: Computer Science
    RVK:
    Author information: Jantke, Klaus P. 1951-
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    b3kat_BV000704113
    Format: VI, 227 S.
    ISBN: 3540180818 , 0387180818
    Series Statement: Lecture notes in computer science 265
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Lernendes System ; Induktive Logik ; Lernendes System ; Analogie ; Künstliche Intelligenz ; Induktion ; Inferenzsystem ; Analogie ; Lernendes System ; Analogieschluss ; Analogieschluss ; Künstliche Intelligenz ; Inferenzsystem ; Induktion ; Künstliche Intelligenz ; Logik ; Induktionsschluss ; Künstliche Intelligenz ; Lernendes System ; Algorithmus ; Konferenzschrift
    Author information: Jantke, Klaus P. 1951-
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    UID:
    edoccha_9959186233802883
    Format: 1 online resource (VIII, 232 p.)
    Edition: 1st ed. 1987.
    Edition: Online edition Springer Lecture Notes Archive ; 041142-5
    ISBN: 3-540-47739-X
    Series Statement: Lecture Notes in Computer Science, 265
    Content: This volume contains revised versions of presentations at the International Workshop on Analogical and Inductive Inference (AII '86) held in Wendisch-Rietz, GDR, October 16-10, 1986. Inductive inference and analogical reasoning are two basic approaches to learning algorithms. Both allow for exciting problems and promising concepts of invoking deeper mathematical results for considerable advances in intelligent software systems. Hence analogical and inductive inference may be understood as a firm mathematical basis for a large variety of problems in artificial intelligence. While the papers on inductive inference contain technical results and reflect the state of the art of this well-developed mathematical theory, those devoted to analogical reasoning reflect the ongoing process of developing the basic concepts of the approach. The workshop thus contributes significantly to the advancement of this field.
    Note: Bibliographic Level Mode of Issuance: Monograph , Towards the development of an analysis of learning algorithms -- Using the algorithm of analogy for generation of robot programs -- On the inference of sequences of functions -- Fixed point equations as hypotheses in inductive reasoning -- Inductive inference of functions from noised observations -- Reasoning by analogy as a partial identity between models -- Can missing information be also useful? -- A decidability problem of church-rosser specifications for program synthesis -- Some considerations about formalization of analogical reasoning -- Analogical reasoning using graph transformations -- Knowledge acquisition by inductive learning from examples -- On the inference of programs approximately computing the desired function -- Stratified inductive hypothesis generation -- A model theoretic oriented approach to analogy -- On the complexity of effective program synthesis -- On barzdin's conjecture. , English
    In: Springer eBooks
    Additional Edition: ISBN 3-540-18081-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    UID:
    edocfu_9959186233802883
    Format: 1 online resource (VIII, 232 p.)
    Edition: 1st ed. 1987.
    Edition: Online edition Springer Lecture Notes Archive ; 041142-5
    ISBN: 3-540-47739-X
    Series Statement: Lecture Notes in Computer Science, 265
    Content: This volume contains revised versions of presentations at the International Workshop on Analogical and Inductive Inference (AII '86) held in Wendisch-Rietz, GDR, October 16-10, 1986. Inductive inference and analogical reasoning are two basic approaches to learning algorithms. Both allow for exciting problems and promising concepts of invoking deeper mathematical results for considerable advances in intelligent software systems. Hence analogical and inductive inference may be understood as a firm mathematical basis for a large variety of problems in artificial intelligence. While the papers on inductive inference contain technical results and reflect the state of the art of this well-developed mathematical theory, those devoted to analogical reasoning reflect the ongoing process of developing the basic concepts of the approach. The workshop thus contributes significantly to the advancement of this field.
    Note: Bibliographic Level Mode of Issuance: Monograph , Towards the development of an analysis of learning algorithms -- Using the algorithm of analogy for generation of robot programs -- On the inference of sequences of functions -- Fixed point equations as hypotheses in inductive reasoning -- Inductive inference of functions from noised observations -- Reasoning by analogy as a partial identity between models -- Can missing information be also useful? -- A decidability problem of church-rosser specifications for program synthesis -- Some considerations about formalization of analogical reasoning -- Analogical reasoning using graph transformations -- Knowledge acquisition by inductive learning from examples -- On the inference of programs approximately computing the desired function -- Stratified inductive hypothesis generation -- A model theoretic oriented approach to analogy -- On the complexity of effective program synthesis -- On barzdin's conjecture. , English
    In: Springer eBooks
    Additional Edition: ISBN 3-540-18081-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    UID:
    gbv_024092371
    Format: VI, 227 S. , graph. Darst. , 24 cm
    ISBN: 3540180818 , 0387180818
    Series Statement: Lecture notes in computer science 265
    Note: Literaturangaben
    Additional Edition: Online-Ausg. Analogical and inductive inference Berlin [u.a.] : Springer, 1987 ISBN 9783540477396
    Language: English
    Keywords: Konferenzschrift
    Author information: Jantke, Klaus P. 1951-
    Library Location Call Number Volume/Issue/Year Availability
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