This book places the topic of the state and society in the context of modern development in China over the past century, investigating the dynamic relation and internal tension between the state's power enhancement and society's vitality activation instead of simply regarding the country and society as two separate entities. Building a modern country and activating the people's vitality involves three closely linked and mutually supporting aspects: establishing the identity recognition of the people to unite the nation; adjusting the organizational system of the society to promote mobilization and institute a social incentive system; and determining dominant strategies and means for the interaction between the country and society to address social-governance issues. This book carefully sheds light on the logic behind China's roundabout strategy for building a modern country and motivating the vitality of its people.

This book places the topic of the state and society in the context of modern development in China over the past century, investigating the dynamic relation and internal tension between the state's power enhancement and society's vitality activation instead of simply regarding the country and society as two separate entities. Building a modern country and activating the people's vitality involves three closely linked and mutually supporting aspects: establishing the identity recognition of the people to unite the nation; adjusting the organizational system of the society to promote mobilization and institute a social incentive system; and determining dominant strategies and means for the interaction between the country and society to address social-governance issues. This book carefully sheds light on the logic behind China's roundabout strategy for building a modern country and motivating the vitality of its people.

This book constitutes the refereed proceedings of the 22nd Conference on Artificial Intelligence, Canadian AI 2009, held in Kelowna, Canada, in May 2009.

The 15 revised full papers presented together with 19 revised short papers, 8 papers from the graduate student symposium and the abstracts of 3 keynote presentations were carefully reviewed and selected from 63 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI techniques to modern problem domains as well as recent techniques to historical problem settings.