Artificial Intelligence: A Systems Approach (Hardcover)

This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book. *Features *Covers not only AI theory, but modern applications e.g., game programming, machine learning, swarming, artificial immune systems, genetic algorithms, pattern recognition, numerical optimization, data mining, and more *Discusses the various computer languages of AI from LISP to JAVA and Python *Includes a CD-ROM with 100MB of simulations, code, and fi gures *Table of Contents 1. Introduction. 2. Search. 3. Games. 4. Logic. 5. Planning. 6. Knowledge Representation. 7. Machine Learning. 8. Probabilistic Reasoning. 9. Stochastic Search. 10. Neural Networks. 11. Intelligent Agents. 12. Hybrid Models. 13. Languages of AI.

這本書為學生和人工智慧程式設計師提供了對人工智慧概念研究的新視角。書中介紹了人工智慧的基本主題和理論，同時也包含了關於數據輸入和減少以及數據輸出（即算法使用）的實用信息。由於傳統的人工智慧概念，如模式識別、數值優化和數據挖掘，現在只是算法的一種類型，因此需要一種不同的方法。這種傳感器/算法/執行器的方法將算法與環境結合在一起，幫助學生和人工智慧從業者更好地理解它們，並隨後如何應用它們。該書在遊戲編程、智能代理、神經網絡、人工免疫系統等方面具有許多最新應用。附帶一個包含模擬、代碼和圖片的CD-ROM。 *特點 *不僅涵蓋人工智慧理論，還包括現代應用，如遊戲編程、機器學習、集群、人工免疫系統、遺傳算法、模式識別、數值優化、數據挖掘等 *討論了從LISP到JAVA和Python的各種人工智慧計算機語言 *附帶一個包含100MB模擬、代碼和圖片的CD-ROM *目錄 1. 簡介。 2. 搜索。 3. 遊戲。 4. 邏輯。 5. 計劃。 6. 知識表示。 7. 機器學習。 8. 概率推理。 9. 隨機搜索。 10. 神經網絡。 11. 智能代理。 12. 混合模型。 13. 人工智慧語言。