This book is devoted to the development of efficient algorithms for enhancing security of Multiagent systems deployed in real world. In particular, we present here algorithms developed using the Decision/Game Theoretic frameworks. Our algorithms can be classified into two kinds:
First, when the agent has no model of its adversaries, the key idea is to randomize the policy of the agent to minimize the information given out. To that end, we present policy randomization algorithms developed using the MDP/Dec-POMDP frameworks.
Second, when the agent has partial model of its adversaries, we...