In any learnability setting, hypotheses are conjectured from some hypothesis space. Studied herein are the influence on learnability of the presence or absence of certain control ...
Inherent constraints play an important role in the semantic Xplain model. These constraints enable us to represent certain real world knowledge once for subsequent use in several ...
A hierarchical system design flow was developed to facilitate concurrent development and Time-to-Market reductions. The system design flow provides for codesign of (embedded) driv...
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Constraint satisfaction problems (CSPs) provide a model often used in Artificial Intelligence. Since the problem of the existence of a solution in a CSP is an NP-complete task, man...