A reference volume for software professionals interested in building large intelligent agents capable of solving useful real-time problems where critical responses are called for. The focus of the book will be on the planning aspect of the problem (the requirements aspect) and discuss how different applications require different approaches for optimal solution. It will discuss where planning is important and where reaction can be an acceptable alternative. Lots of worked out examples will be included.
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Dr. David Ash graduated from Stanford University in 1993 with his Ph.D. in artificial intelligence. After graduating, Dr. Ash worked until 1996 as a software developer, quantitative analyst, and trader at D.E. Shaw & Co., a Manhattan financial services firm. Since 1996, Dr. Ash has been employed as an artificial intelligence consultant with MindBox, Inc., providing consulting services to MindBox clients at various locations on the East Coast.
Dr. Vlad Dabija holds an engineering degree in computers from the Polytechnic Institute in Bucuresti, Romania, a Ph.D. degree in artificial intelligence from Stanford University, and an MBA with Distinction from the Wharton School of the University of Pennsylvania. He worked in several computer technology, production, research, and academic institutions in the US, Japan, and Western and Eastern Europe before joining the venture capital firm CMEA Ventures.
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