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...
There has been a growing interest in designing multi-agent based interactive dramas. A key research challenge faced in the design of these systems is to support open-ended user in...
This paper focuses on a task allocation problem, particularly in cases where the task is to find a solution to a search problem or a constraint satisfaction problem. If the searc...
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...