Computer Science ›› 2020, Vol. 47 ›› Issue (2): 201-205.doi: 10.11896/jsjkx.190100101
• Artificial Intelligence • Previous Articles Next Articles
WU Tian-tian,WANG Jie
CLC Number:
[1]WANG J,LIU C.Agent-Oriented Probabilistic Logic Programming with Fuzzy Constraints[C]∥Pacific Rim International Workshop on Multi-agents.Springer Berlin Heidelberg,20064088:664-671. [2]CARRERA,ÁLVARO,IGLESIAS C A,et al.A real-life application of multi-agent systems for fault diagnosis in the provision of an Internet business service[J].Journal of Network & Computer Applications,2014,37(1):146-154. [3]JIA X,DOU C,BO Z,et al.Application of multi-agenttechnology in micro-grid system[C]∥International Conferenceon Advanced Power System Automation & Protection.2011:16-20. [4]ZOUHAIER H,SAID L B.An Application Oriented Multi-Agent Based Approach to Dynamic Truck Scheduling at Cross-Dock[C]∥International Conference on Parallel & Distributed Computing.IEEE,2016,1:233-239. [5]ABE J M,REIS N F D,CRISTINA C D O,et al.A Logical Framework for Imprecise and Conflicting Knowledge Representation for Multi-agent Systems[C]∥Ifip International Conference on Advances in Production Management Systems.Springer International Publishing,2015,459:202-210. [6]STAVROPOULOS T G,RIGAS E S,KONTOPOULOS E,et al.AMulti-agent Coordination Framework for Smart BuildingEnergy Management[C]∥International Workshop on Databaseand Expert Systems Applications.IEEE,2014:126-130. [7]MANZOOR S,CHOI Y.Multi-agent coordination using limitcycles in dynamic environment[C]∥International Conference on Control.IEEE,2017. [8]EITER T,WANG K.Semantic forgetting in answer set programming[J].Artificial Intelligence,2008,172(14):1644-1672. [9]SAKAMA C,INOUE K.Coordination in Answer Set Programming[J].Acm Transactionson Computational Logic,2008,9(2):1-30. [10]NIEVES J C,OSORIO M,CORTÉ S U.Semantics for Possibilistic Disjunctive Programs[J].Theory and Practice of Logic Programming,2013,13(1):33-70. [11]CONFALONIERI R,PRADE H.Using possibilistic logic for modeling qualitative decision:Answer Set Programmingalgorithms[J].Elsevier Science Inc.,2014,55(2):711-738. [12]MAIA G,ALCÂNTARA J.Reasoning about Trust and Belief in Possibilistic Answer Set programming[C]∥Brazilian Conference on Intelligent Systems.IEEE Computer Society,2016:217-222. [13]SON T C.Answer set programming and its applications in planning and multi-agent systems[C]∥International Conference on Logic Programming and Nonmonotonic Reasoning.Springer,Cham,2017,10377:23-35. [14]ROSSI S,NAPOLI C D,BARILE F,et al.A Multi-Agent Systemfor Group Decision Support Based on Conflict ResolutionStyles[M]∥Conflict Resolution in Decision Making.2017:134-148. [15]LU F F,WANG J.An improved method for processing inconsistent answer set program [J].Computer Science,2015,42(S1):542-545. [16]AN X M,ZHANG Y Y,WANG J,et al.Optimization of the product configuration solution based on the weighted quantitative method [J].Computer Engineering & Science,2010,32(8):145-148. [17]WANG J,ZHANG T T.Research on context-aware in smart space based on ASP [J].Computer Applications and Software,2017,34(2):20-26. [18]XU B S.Research on conflict and deadlock in smart space [D].Beijing:Beijing University of Technology,2015. [19]FACCIN J,NUNES I.BDI-Agent Plan Selection Based on Prediction of Plan Outcomes[C]∥2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).ACM,2015. [20]ZHU Y,TRUSZCZYNSKI M.On Optimal Solutions of AnswerSet Optimization Problems[C]∥International Conference on Logic Programming and Nonmonotonic Reasoning.Springer Berlin Heidelberg,2013:556-568. |
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