Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Efficient Retrieval from Hierarchies of Objects using Lattice Operations
ICCS '93 Proceedings on Conceptual Graphs for Knowledge Representation
UDS: A Universal Data Structure
ICCS '94 Proceedings of the Second International Conference on Conceptual Structures: Current Practices
Exploiting the Induced Order on Type-Labeled Graphs for Fast Knowledge Retrieval
ICCS '94 Proceedings of the Second International Conference on Conceptual Structures: Current Practices
The Representation of Semantic Constraints in Conceptual Graph Systems
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Constraints on Processes: Essential Elements for the Validation and Execution of Processes
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
An Application of the Process Mechanism to a Room Allocation Problem Using the pCG Language
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Conceptual Graphs and Metamodeling
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
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The Sisyplius-I problem is a room allocation problem used as a common testbed to compare different knowledge acquisition and problem solving methodologies. This paper shows how it can be represented and solved using conceptual graphs (CGs). Since CGs offer a graphical representation of knowledge for, among other things, facts, constraints and goals, this paper shows how the subsumption relation defined on CGs help reformulate the problem in terms of a classification problem. It also shows how a graphical representation of this classification structure can be helpful in the generation of explanations pertaining to the behavior of the system, or as support to a knowledge engineer who must assist the system in its task. Thus we claim that such a classification structure, which can be visualized, may contribute: 1) to solving the problem, 2) to keeping track of the behavior of the system, and 3) to interpreting possible solutions.