Disruptive technologies and novel aircraft generations represent a potential approach to address the ambitious emission reduction goals in aviation. However, introduction of innovative concepts is time-consuming process, which might not necessarily yield an optimal design for given flight mission within defined time frame. In order need structured more exhaustive search concept generations, Adv...

Knowledge elicitation is one of the major bot­ tlenecks in expert system design. Systems based on Bayes nets require two types of information-network structure and parame­ ters (or probabilities) . Both must be elicited from the domain expert. In general, parame­ ters have greater opacity than structure, and more time is spent in their refinement than in any other phase of elicitation. Thus, it...

This paper examines the methods being devised at Victoria University to provide an intelligent, knowledge based interface to expert systems, simulation packages and CAD systems for architectural design. Currently a large amount of information is duplicated in describing a building to different design tools. To enable designers to use different design tools to evaluate a building design, without...

Challenges of designing an educational game cause an ongoing debate that while one side proposes ludology as the key for a computer game, other side proposes narratology as the most important part of game environment. Ludologic attributes of games have been preferred more than narrative ones. However, results of studies attempted to reveal importance of narrative structures and storytelling for...

The purpose of this paper is to present two complementary patterns to build multi-expert systems, that is systems that need to integrate large, heterogeneous specialized modules, and implement complex, non deterministic control strategies. The rst pattern summarizes the blackboard pattern presented in [1]. The second pattern builds on the model of dynamic control where a blackboard system has a...