Advances in Artificial Intelligence

Name: Advances in Artificial Intelligence
Brand: Springer-Verlag New York Inc.
SKU: 9781461390541
Price: 40495 HUF
Availability: InStock

Natural Language and Knowledge-based Systems

Szerző: Martin C. Golumbic

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

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Research in artificial intelligence, natural language processing and knowledge-based systems has blo...

Információk a könyvről

Szerző

Martin C. Golumbic

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

303

EAN

9781461390541

ISBN

1461390540

Enbook ID

06797311

Kiadó

Springer-Verlag New York Inc.

Súly

487

Méretek

155 x 235 x 18

Teljes leírás

Research in artificial intelligence, natural language processing and knowledge-based systems has blossomed during the past decade. At national and international symposia as well as in research centers and universities all over the world, these subjects have been the focus of intense debate and study. This is equally true in Israel which has hosted several international forums on these topics. The articles in this book represent a selection of contributions presented at recent AI conferences held in Israel. A theoretical model for a system that learns from its own experience in playing board games is presented in Learning from Experience in Board Games by Ze'ev Ben-Porat and Martin Golumbic. The model enables such a system to enhance and improve its playing capabilities through the use of a learning mechanism which extracts knowledge from actual playing experience. The learning process requires no external guidance or assistance. This model was implemented and tested on a variant of "Chinese Checkers. " The paper shows the feasibility and validity of the proposed model and investigates the parameters that affect its performance traits. The experimental results give evidence of the validity of the model as a powerful learning mechanism. Original and general algorithms for knowledge extraction and pattern matching were designed and tested as part of the prototype computer system. Analysis of the performance characteristics of these algorithms indicates that they can handle large knowledge bases in an efficient manner.

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Advances in Artificial Intelligence

Natural Language and Knowledge-based Systems

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Teljes leírás

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