An Object Model for the Representation of Empirical Knowledge
This work addresses the need for a structured representation of knowledge in AI systems, but it appears incremental as it builds on existing object-oriented concepts without clear novel applications or breakthroughs.
The paper tackles the problem of representing static and dynamic empirical knowledge across domains by designing an object-oriented model with twin conceptual levels, resulting in a framework that includes internal structures like sub-object hierarchies and external descriptions of object environments.
We are currently designing an object oriented model which describes static and dynamical knowledge in diff{é}rent domains. It provides a twin conceptual level. The internal level proposes: the object structure composed of sub-objects hierarchy, structure evolution with dynamical functions, same type objects comparison with evaluation functions. It uses multiple upward inheritance from sub-objects properties to the Object. The external level describes: object environment, it enforces object types and uses external simple inheritance from the type to the sub-types.