Agent description and discovery (ADD) is a critical infrastructure for open multi-agent services. As multi-agent systems grow larger and more diverse, it becomes harder to locate ...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Word fragments or n-grams have been widely used to perform different Natural Language Processing tasks such as information retrieval [1] [2], document categorization [3], automatic...
The Project Management (PM) paradigm is rapidly shifting due to business globalization and information technology (IT) advances that support distributed and virtual project teams....
Fang Chen, Nicholas C. Romano Jr., Jay F. Nunamake...