We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
We present two simple search methods for computing a sample Nash equilibrium in a normal-form game: one for 2player games and one for n-player games. We test these algorithms on m...
We describe a formalism and algorithms for game-tree search in partially-observable Euclidean space, and implementation and tests in a scenario where a multi-agent team, called tr...
Eric Raboin, Dana S. Nau, Ugur Kuter, Satyandra K....
This paper describes an algorithm developed as a decision support system for SMT line operators and its purpose is to suggest changes in an existing feeder setup in order to impro...
This paper presents an agent specially designed for the prevention and detection of SQL injection at the database layer of an application. The agent incorporates a Case-based reaso...