We investigate planning for self-interested agents in large multi-agent simulations. We present two heuristic algorithms that exploit different domain-specific properties in order...
Dynamic composition of protocol features allows applications to establish connections with custom communication characteristics. Automatically computing possible compositions and ...
Web service applications are dynamic, highly distributed, and loosely coupled orchestrations of services which are notoriously difficult to debug. In this paper, we describe a use...
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
Mostexisting decision-theoretic planners represent uncertainty about the state of the world with a precisely specified probability distribution over world states. This representat...