Now in its Seventh Edition, Robert M. Clark′s Intelligence Analysis: A Target-Centric Approach once again delivers a consistent, clear method for teaching intelligence analysis, demonstrating how a collaborative, target-centric approach leads to sharper and more effective analysis. In addition to looking at the intelligence cycle, collection, managing analysis, and dealing with...(展开全部)

Due to the ever-evolving tactics of our enemies, the American intelligence community has been compelled to find more effective methods of managing intelligence analysis. In Intelligence Analysis, Robert M. Clark demonstrates that a collaborative, target-centric approach leads to sharper and more effective analysis, while better meeting the needs of the end-user. Comprehensively...(展开全部)

罗伯特·克拉克（Robert M.Clark），电子工程学博士，法学博士，美国资深情报分析人员，新生代情报分析家代表，从事情报分析工作40余年。他先后担任美国空军电子战军官和情报官，中情局分析员和情报分析支持小组负责人；曾在美国国家情报总监办公室参与“情报官课程”的开发和教学，后来还担任“情报界入门课程”的课程主管。目前，他是一位为美国情报界提供太空威胁分析的独立咨询师，还在一所大学的情报与安全学院担任教职。

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Click on "Features" tab below for more information Resources: Visit the author's website http://aima.cs.berkeley.edu/ to...(展开全部)

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-O...(展开全部)

Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor of computer science, director of the Center for Intelligent Systems, and holder of...(展开全部)

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Click on "Features" tab below for more information Resources: Visit the author's website http://aima.cs.berkeley.edu/ to...(展开全部)

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-O...(展开全部)

For nearly 50 years, facing a static enemy, American intelligence analysis was based on a hierarchical decision-making process that oftentimes insulated analysts from criticism and interaction with the ultimate consumers of their product. In countering asymmetric threats and non-state adversaries, the model is simply outmoded. A flatter, horizontal, networked solution has prove...(展开全部)

For the second edition of this very successful text, Professor Binmore has written two chapters on analysis in vector spaces. The discussion extends to the notion of the derivative of a vector function as a matrix and the use of second derivatives in classifying stationary points. Some necessary concepts from linear algebra are included where appropriate. The first edition cont...(展开全部)