Decentralized partially observable Markov decision process (DEC-POMDP) is an approach to model multi-robot decision making problems under uncertainty. Since it is NEXP-complete the...
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
Abstract: We present the live-representation approach for managing and working in complex, dynamic business processes. In this approach, aspects of business-process modeling, proje...
Daniel D. Corkill, Zachary B. Rubinstein, Susan E....
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
Abstract. A configurable process model describes a family of similar process models in a given domain. Such a model can be configured to obtain a specific process model that is sub...
Wil M. P. van der Aalst, Niels Lohmann, Marcello L...