In this paper we incorporate autonomous agents' capability to perform parallel interactions into the cooperative search model, resulting in a new method which outperforms the...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Abstract—Today’s wirelessly networked embedded systems underlie a vast array of electronic devices, performing computation, communication, and input/output. A major design goal...
— We propose a novel framework for building a distributed data acquisition and monitoring system. Our novel framework is mainly based on XML leverages and OPC (Openness, Producti...