Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
We describe a new grounder system for logic programs under answer set semantics, called GrinGo. Our approach combines and extends techniques from the two primary grounding approach...
Business processes that span organizational borders describe the interaction between multiple parties working towards a common objective. They also express business rules that gov...
Alexander Lazovik, Marco Aiello, Mike P. Papazoglo...
Multi agent systems, Grid technology, Semantic Web, and Web Intelligence paradigm are three modern approaches in information technologies, which we put together in our research eff...