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Analogical and Inductive Inference

International Workshop AII '92, Dagstuhl Castle, Germany, October 5-9, 1992. Proceedings

Klaus P. Jantke (Herausgeber)

Buch | Softcover

X, 326 Seiten

1992
Springer Berlin (Verlag)
9783540560043 (ISBN)

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This volume contains the text of the five invited papers and16 selected contributions presented at the thirdInternational Workshop on Analogical and InductiveInference, AII `92, held in Dagstuhl Castle, Germany,October 5-9, 1992.Like the two previous events, AII '92 was intended to bringtogether representatives from several research communities,in particular, from theoretical computer science, artificialintelligence, and from cognitive sciences.The papers contained in this volume constitute astate-of-the-art report on formal approaches to algorithmiclearning, particularly emphasizing aspects of analogicalreasoning and inductive inference. Both these areas arecurrently attracting strong interest: analogical reasoningplays a crucial role in the booming field of case-basedreasoning, and, in the fieldof inductive logic programming,there have recently been developed a number of newtechniques for inductive inference.

Representing the spatial/kinematic domain and lattice computers.- A solution of the credit assignment problem in the case of learning rectangles.- Learning decision strategies with genetic algorithms.- Background knowledge and declarative bias in inductive concept learning.- Too much information can be too much for learning efficiently.- Some experiments with a learning procedure.- Unions of identifiable classes of total recursive functions.- Learning from multiple sources of inaccurate data.- Strong separation of learning classes.- Desiderata for generalization-to-N algorithms.- The power of probabilism in Popperian FINite learning.- An analysis of various forms of 'jumping to conclusions'.- An inductive inference approach to classification.- Asking questions versus verifiability.- Predictive analogy and cognition.- Learning a class of regular expressions via restricted subset queries.- A unifying approach to monotonic language learning on informant.- Characterization of finite identification.- A model of the 'redescription' process in the context of geometric proportional analogy problems.- Inductive strengthening: The effects of a simple heuristic for restricting hypothesis space search.- On identifying DNA splicing systems from examples.

Erscheint lt. Verlag	23.9.1992
Reihe/Serie	Lecture Notes in Artificial Intelligence
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	X, 326 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	494 g
Themenwelt	Mathematik / Informatik ► Informatik ► Betriebssysteme / Server
	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	algorithm • Algorithmic Learning • Algorithmisches Lernen • algorithms • Analoges Schliessen • Analoges Schließen • Analogical Inference • Artificial Intelligence • Automatic Programming • Automatisches Beweisverfahren • Automatisches Programmieren • Case-Based Reasoning • cognitive science • Fall-basiertes Schliessen • Fall-basiertes Schließen • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Inductive Inference • Induktives Schliessen • Induktives Schließen • Intelligence • Künstliche Intelligenz • learning • Logic • logical reasoning • programming
ISBN-13	9783540560043 / 9783540560043
Zustand	Neuware