"Global threats of terrorism, drug-smuggling and other crimes have led to a significant increase in research on game theory for security. Game theory provides a sound mathematical approach to deploy limited security resources to maximize their effectiveness. A typical approach is to randomize security schedules to avoid predictability, with the randomization using artificial intelligence techniques to take into account the importance of different targets and potential adversary reactions. This book distills the forefront of this research to provide the first and only study of long-term deployed applications of game theory for security for key organizations such as the Los Angeles International Airport police and the US Federal Air Marshals Service. The author and his research group draw from their extensive experience working with security officials to intelligently allocate limited security resources to protect targets, outlining the applications of these algorithms in research and the real world"--

"The regulation of innovation and the optimal design of legal institutions in an environment of uncertainty are two of the most important policy challenges of the twenty-first century. Innovation is critical to economic growth. Regulatory design decisions, and, in particular, competition policy and intellectual property regimes, can have profound consequences for economic growth. However, remarkably little is known about the relationship between innovation, competition, and regulatory policy. Any legal regime must attempt to assess the tradeoffs associated with rules that will affect incentives to innovate, allocative efficiency, competition, and freedom of economic actors to commercialize the fruits of their innovative labors. The essays in this book approach this critical set of problems from an economic perspective, relying on the tools of microeconomics, quantitative analysis, and comparative institutional analysis to explore and begin to provide answers to the myriad challenges facing policymakers"--