Distributed Artificial Intelligence; Knowledge Representation and Reasoning; Conviviality; Multi-Context Systems; Social Dependence Networks.
Abstract :
[en] 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.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-148
Author, co-author :
Caire, Patrice ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Bikakis, Antonis
Language :
English
Title :
Enhancing Cooperation in Distributed Information Systems using Conviviality and Multi-Context Systems
Publication date :
2011
Event name :
Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011,
Event date :
Dec 8, 2011 - Dec 9, 2011
Audience :
International
Main work title :
Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011,
Publisher :
Lecture Notes in Computer Science 7080 Springer 2011
Pages :
14-25
Peer reviewed :
Peer reviewed
Commentary :
7080
Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011
Caire, P.: New Tools for Conviviality: Masks, Norms, Ontology, Requirements andMeasures. PhD thesis, Luxembourg University, Luxembourg (2010)
Caire, P., Alcade, B., van der Torre, L., Sombattheera, C.: Conviviality measures. In: 10th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, Taiwan, May 2-6 (2011)
Giunchiglia, F., Serafini, L.: Multilanguage hierarchical logics, or: how we can do without modal logics. Artificial Intelligence 65(1) (1994)
Ghidini, C., Giunchiglia, F.: Local Models Semantics, or contextual reasoning=locality+compatibility. Artificial Intelligence 127(2), 221-259 (2001)
Caire, P.: How to import the concept of conviviality to web communities. International Journal of Web Based Communities (IJWBC) 6(1), 99-113 (2009)
Illich, I.: Tools for Conviviality. Marion Boyars Publishers, London (1974)
Bikakis, A., Antoniou, G.: Local and Distributed Defeasible Reasoning in Multi-Context Systems. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2008. LNCS, vol. 5321, pp. 135-149. Springer, Heidelberg (2008)
Buvac, S., Mason, I.A.: Propositional Logic of Context. In: AAAI, pp. 412-419 (1993)
McCarthy, J., Buvač, S.: Formalizing Context (Expanded Notes). In: Aliseda, A., van Glabbeek, R., Westerståhl, D. (eds.) Computing Natural Language, pp. 13-50. CSLI Publications, Stanford (1998)
McCarthy, J.: Generality in Artificial Intelligence. Communications of the ACM 30(12), 1030-1035 (1987)
Serafini, L., Bouquet, P.: Comparing formal theories of context in AI. Artificial Intelligence 155(1-2), 41-67 (2004)
Lenat, D.B., Guha, R.V.: Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project. Addison-Wesley Longman Publishing Co., Inc., Boston (1989)
Borgida, A., Serafini, L.: Distributed Description Logics: Assimilating Information from Peer Sources. Journal of Data Semantics 1, 153-184 (2003)
Bouquet, P., Giunchiglia, F., van Harmelen, F., Serafini, L., Stuckenschmidt, H.: C-OWL: Contextualizing Ontologies. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 164-179. Springer, Heidelberg (2003)
Parsons, S., Sierra, C., Jennings, N.R.: Agents that reason and negotiate by arguing. Journal of Logic and Computation 8(3), 261-292 (1998)
Sabater, J., Sierra, C., Parsons, S., Jennings, N.R.: Engineering Executable Agents using Multi-context Systems. Journal of Logic and Computation 12(3), 413-442 (2002)
Antoniou, G., Papatheodorou, C., Bikakis, A.: Reasoning about Context in Ambient Intelligence Environments: A Report from the Field. In: KR, pp. 557-559. AAAI Press (2010)
Bikakis, A., Antoniou, G., Hassapis, P.: Strategies for contextual reasoning with conflicts in Ambient Intelligence. Knowledge and Information Systems 27(1), 45-84 (2011)
Bikakis, A., Antoniou, G.: Defeasible Contextual Reasoning with Arguments in Ambient Intelligence. IEEE Trans. on Knowledge and Data Engineering 22(11), 1492-1506 (2010)
Bikakis, A., Antoniou, G.: Partial Preferences and Ambiguity Resolution in Contextual Defeasible Logic. In: Delgrande, J.P., Faber, W. (eds.) LPNMR 2011. LNCS, vol. 6645, pp. 193-198. Springer, Heidelberg (2011)
Caire, P., Villata, S., Boella, G., van der Torre, L.: Conviviality masks in multiagent systems. In: 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, vol. 3, pp. 1265-1268 (2008)
Caire, P., van der Torre, L.: Convivial ambient technologies: Requirements, ontology and design. The Computer Journal 3 (2009)
Caire, P.: Designing convivial digital cities: a social intelligence design approach. AI and Society 24(1), 97-114 (2009)
Castelfranchi, C.: The micro-macro constitution of power. Protosociology 18, 208-269 (2003)
Sichman, J.S., Conte, R.: Multi-agent dependence by dependence graphs. In: Procs. of The First International Joint Conference on Autonomous Agents &Multiagent Systems, AAMAS 2002, pp. 483-490. ACM (2002)
Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms, 2nd edn. The MIT Press (2001)
