Capturing and exploiting knowledge is at the heart of several important problems such as decision making, the semantic web, and intelligent agents. The captured knowledge must be a...
Vinay K. Chaudhri, Kenneth S. Murray, John Pacheco...
An original methodology, called backward model tracing to model student performance which features a profitable integration of the bug collection and bug construction techniques i...
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Abstract--Knowledge is attributed to human whose problemsolving behavior is subjective and complex. In today's knowledge economy, the need to manage knowledge produced by a co...
This paper explores the applicability of the new paradigm of Multi-dimensional Dynamic Logic Programming to represent an agent’s view of the combination of societal knowledge dyn...