Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Specifying multiple-viewed software requirements with conceptual graphs
Journal of Systems and Software
Alice: a 3-D tool for introductory programming concepts
CCSC '00 Proceedings of the fifth annual CCSC northeastern conference on The journal of computing in small colleges
A Discipline of Programming
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Modelling and Simulating Human Behaviours with Conceptual Graphs
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
From Actors to Processes: The Representation of Dynamic Knowledge Using Conceptual Graphs
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Synergiy as an Hybrid Object-Oriented Conceptual Graph Language
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
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
Logic in Computer Science: Modelling and Reasoning about Systems
Logic in Computer Science: Modelling and Reasoning about Systems
Programming Languages
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
A framework for analyzing and testing requirements with actors in conceptual graphs
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Hi-index | 0.00 |
Conceptual graphs (CGs) are a knowledge representation formalism that models monotonic first-order logic. However, in the case of an active knowledge base and in other cases, it is necessary to modify a CG dynamically, rendering the preceding static first-order CG possibly inconsistent and in need of further analysis. In order to extend monotonic first-order logic to non-monotonic second-order computation, and therefore achieve all of the power of a modern computer, CGs need to use atomic actors to represent change. To illustrate the power of actors, we represent the well-defined Turing machine; this has the added effect of showing that CGs can represent any of the power of a modern computer. This addition to the CG theory will have other similar practical effects.