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Author: Petr Hájek
Publisher: Springer
ISBN: 9780387087382
Category : Artificial intelligence
Languages : en
Pages : 0
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Author: Petr Hájek
Publisher: Springer
ISBN: 9780387087382
Category : Artificial intelligence
Languages : en
Pages : 0
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Book Description
Author: P. Hajek
Publisher:
ISBN: 9783642669446
Category :
Languages : en
Pages : 418
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Author: P. Hajek
Publisher: Springer Science & Business Media
ISBN: 3642669433
Category : Mathematics
Languages : en
Pages : 410
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Book Description
Hypothesis formation is known as one of the branches of Artificial Intelligence, The general question of Artificial IntelligencE' ,"Can computers think?" is specified to the question ,"Can computers formulate and justify hypotheses?" Various attempts have been made to answer the latter question positively. The present book is one such attempt. Our aim is not to formalize and mechanize the whole domain of inductive reasoning. Our ultimate question is: Can computers formulate and justify scientific hypotheses? Can they comprehend empirical data and process them rationally, using the apparatus of modern mathematical logic and statistics to try to produce a rational image of the observed empirical world? Theories of hypothesis formation are sometimes called logics of discovery. Plotkin divides a logic of discovery into a logic of induction: studying the notion of justification of a hypothesis, and a logic of suggestion: studying methods of suggesting reasonable hypotheses. We use this division for the organization of the present book: Chapter I is introductory and explains the subject of our logic of discovery. The rest falls into two parts: Part A - a logic of induction, and Part B - a logic of suggestion.
Author: Jan Rauch
Publisher: CRC Press
ISBN: 100077774X
Category : Business & Economics
Languages : en
Pages : 362
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Book Description
Mechanizing hypothesis formation is an approach to exploratory data analysis. Its development started in the 1960s inspired by the question “can computers formulate and verify scientific hypotheses?”. The development resulted in a general theory of logic of discovery. It comprises theoretical calculi dealing with theoretical statements as well as observational calculi dealing with observational statements concerning finite results of observation. Both calculi are related through statistical hypotheses tests. A GUHA method is a tool of the logic of discovery. It uses a one-to-one relation between theoretical and observational statements to get all interesting theoretical statements. A GUHA procedure generates all interesting observational statements and verifies them in a given observational data. Output of the procedure consists of all observational statements true in the given data. Several GUHA procedures dealing with association rules, couples of association rules, action rules, histograms, couples of histograms, and patterns based on general contingency tables are involved in the LISp-Miner system developed at the Prague University of Economics and Business. Various results about observational calculi were achieved and applied together with the LISp-Miner system. The book covers a brief overview of logic of discovery. Many examples of applications of the GUHA procedures to solve real problems relevant to data mining and business intelligence are presented. An overview of recent research results relevant to dealing with domain knowledge in data mining and its automation is provided. Firsthand experiences with implementation of the GUHA method in the Python language are presented.
Author: Neil Marinello
Publisher:
ISBN:
Category : Hypothesis
Languages : en
Pages : 82
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Author: Sonja C. Grover
Publisher:
ISBN:
Category : Conceptual structures (Information development)
Languages : en
Pages : 11
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Author: Lindley Darden
Publisher:
ISBN:
Category : Cognition
Languages : en
Pages : 18
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Author: Stanford University. Computer Science Department. Knowledge Systems Laboratory
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 47
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Author: Kevin Joel Rappoport
Publisher:
ISBN:
Category : Expert systems (Computer science)
Languages : en
Pages : 290
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Author: Manfred Kochen
Publisher:
ISBN:
Category :
Languages : en
Pages :
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