Commonsense Reasoning : An Event Calculus Based Approach, 2/e(Paperback)

Commonsense Reasoning : An Event Calculus Based Approach, 2/e(Paperback)

作者: Erik T. Mueller
出版社: Morgan Kaufmann
出版在: 2014-10-16
ISBN-13: 9780128014165
ISBN-10: 0128014164
裝訂格式: Paperback
總頁數: 516 頁





內容描述


To endow computers with common sense is one of the major long-term goals of artificial intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning: An Event Calculus Based Approach is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions that span many areas of the commonsense world. The Second Edition features new chapters on commonsense reasoning using unstructured information including the Watson system, commonsense reasoning using answer set programming, and techniques for acquisition of commonsense knowledge including crowdsourcing.Drawing upon years of practical experience and using numerous examples and illustrative applications Erik Mueller shows you the keys to mastering commonsense reasoning. You’ll be able to: Understand techniques for automated commonsense reasoningIncorporate commonsense reasoning into software solutionsAcquire a broad understanding of the field of commonsense reasoning.Gain comprehensive knowledge of the human capacity for commonsense reasoning




相關書籍

Python數據分析入門——從數據獲取到可視化

作者 沈祥壯

2014-10-16

數據可視化原理與實戰——基於Power BI

作者 雷元

2014-10-16

Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

作者 Antic Zhenya

2014-10-16