Commonsense Reasoning : An Event Calculus Based Approach, 2/e(Paperback)
暫譯: 常識推理:基於事件演算的方法,第二版(平裝本)
Erik T. Mueller
- 出版商: Morgan Kaufmann
- 出版日期: 2014-10-16
- 定價: $3,400
- 售價: 8.0 折 $2,720
- 語言: 英文
- 頁數: 516
- 裝訂: Paperback
- ISBN: 0128014164
- ISBN-13: 9780128014165
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相關分類:
人工智慧、微積分 Calculus、Machine Learning
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商品描述
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 reasoning
- Incorporate commonsense reasoning into software solutions
- Acquire a broad understanding of the field of commonsense reasoning.
- Gain comprehensive knowledge of the human capacity for commonsense reasoning
商品描述(中文翻譯)
將電腦賦予常識是人工智慧研究的主要長期目標之一。解決這個問題的一種方法是使用數學邏輯來形式化常識推理。《常識推理:基於事件演算的方法》是一本關於基於邏輯的常識推理的詳細高階參考書。它使用事件演算,這是一種非常強大且易於使用的常識推理工具,Erik Mueller 證明了它是適用於最廣泛應用的最有效工具。他提供了一部最新的作品,促進事件演算在常識推理中的使用,並將散佈在許多書籍和論文中的資訊集中在一起。Mueller 分享了使用事件演算所獲得的知識,並用詳細的事件演算解決方案擴展文獻,涵蓋常識世界的許多領域。
第二版新增了關於使用非結構化資訊進行常識推理的新章節,包括 Watson 系統、使用答案集程式設計的常識推理,以及包括群眾外包在內的常識知識獲取技術。
Erik Mueller 根據多年的實踐經驗,使用眾多範例和示範應用,向您展示掌握常識推理的關鍵。您將能夠:
- 理解自動化常識推理的技術
- 將常識推理納入軟體解決方案
- 獲得對常識推理領域的廣泛理解
- 獲得對人類常識推理能力的全面知識
