—Current architectures for systems integration provide means for forming agile business processes by manually or dynamically configuring the components. However, a major challeng...
—Rooted in a deep understanding of their major properties, a control paradigm for complex systems is proposed based on latest advances in modeling the dynamics of complex network...
Abstract— Starting from the situated and embodied perspective on the study of biological cognition as a source of inspiration, this paper programmatically outlines a path towards...
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
This paper develops a model for exceptions and an approach for incorporating them in commitment protocols among autonomous agents. Modeling and handling exceptions is critical for...