This third edition comprehensively captures the cutting-edge research achievements of AI. Topics are thoroughly revised and updated, presenting the latest techniques and strategies to address the impending challenges facing computer scientists today.
The useful reference text benefits professionals, academics, researchers, senior and graduate students in the information field and related tertiary specialties.
Contents:
PrefaceAbout the AuthorAcknowledgmentsIntroductionLogic FoundationCausal ReasoningGame TheoryStatistical LearningDeep LearningReinforcement LearningTransfer LearningFederated LearningArtificial General IntelligenceCrowd ComputingArtificial Intelligence for ScienceBibliographyIndex
Readership: Researchers, professionals, academics and graduate students in artificial intelligence, machine learning and pattern recognition.
Zhongzhi Shi, Professor at the Institute of Computing Technology, Chinese Academy of Sciences. Academician of International Academy of Information Research Sciences (IAIS), Fellow of CCF, CAAI. IEEE senior members, AAAI, ACM members. His research interests mainly include intelligence science, artificial intelligence, cognitive science, multi-agent systems, machine learning, neural computing. He has been responsible for 973, 863, key projects of NSFC. He has been awarded with various honors, such as National Science and Technology Progress Award (2012), Beijing Municipal Science and Technology Award (2006), the Achievement Award of Wu Wenjun Artificial Intelligence science and Technology by CAAI (2013), the Achievement Award of Multi-Agent Systems by China Multi-Agent Systems Technical Group of AIPR, CCF (2016). He has published more than 20 books, including Mind Computation, Intelligent Science (in Chinese), Advanced Artificial Intelligence, Principles of Machine Learning, Neural Networks. Published more than 500 academic papers. He presently serve as editor in chief of International Journal of Intelligence Science. He served as Secretary-General of China Computer Federation, vice chair of China Association of Artificial Intelligence, chair of the Machine Learning and Data Mining Group WG12.2, IFIP TC12.
