In multi-agent systems where sets of joint actions (JAs) are generated, metrics are needed to evaluate these sets and efficiently allocate resources for the many JAs. For the case...
Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Ta...
State of the art analyzers in the Logic Programming (LP) paradigm are nowadays mature and sophisticated. They allow inferring a wide variety of global properties including terminat...
Distributed constraint optimization (DCOP) has emerged as a useful technique for multiagent coordination. While previous DCOP work focuses on optimizing a single team objective, i...
We present algorithms based on truth-prefixed tableaux to solve both Concept Abduction and Contraction in ALN DL. We also analyze the computational complexity of the problems, sho...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...