Generality in artificial intelligence
Communications of the ACM
Multilanguage hierarchical logics, or: how we can do without modal logics
Artificial Intelligence
Local models semantics, or contextual reasoning = locality + compatibility
Artificial Intelligence
Multi-agent dependence by dependence graphs
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Introduction to Algorithms
Comparing formal theories of context in AI
Artificial Intelligence
Conviviality masks in multiagent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Local and Distributed Defeasible Reasoning in Multi-Context Systems
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
How to import the concept of conviviality to web communities
International Journal of Web Based Communities
Propositional logic of context
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Convivial Ambient Technologies
The Computer Journal
Defeasible Contextual Reasoning with Arguments in Ambient Intelligence
IEEE Transactions on Knowledge and Data Engineering
Strategies for contextual reasoning with conflicts in ambient intelligence
Knowledge and Information Systems
Partial preferences and ambiguity resolution in contextual defeasible logic
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
| Hi-index | 0.00 |
Modern information systems are characterized by the distribution of information and services among several autonomous heterogeneous entities. A major requirement for the success of such systems is that participating entities cooperate by sharing parts of their local knowledge. This paper presents a novel approach for modeling and enhancing cooperation in distributed information systems, which combines two formal models from the field of Knowledge Representation and Reasoning: a conviviality model and Multi-Context Systems. Our aim is two-fold. First, we develop a combined model for context-based representation and cooperation. Second, we provide the means for measuring cooperation leading to the design and evaluation of more convivial systems.