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Volumn 4159 LNCS, Issue , 2006, Pages 147-156

Distributed embedded intelligence room with multi-agent cooperative learning

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; DISTRIBUTED COMPUTER SYSTEMS; EMBEDDED SYSTEMS; FUZZY SETS; MOBILE COMPUTING; MULTI AGENT SYSTEMS; NETWORK PROTOCOLS;

EID: 33750047187     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11833529_15     Document Type: Conference Paper
Times cited : (5)

References (19)
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    • Advisory Group (ISTAG), Inst. Prospective Technol. Studies (IPTS), Seville
    • Ducatel, K., Bogdanowicz, M., Scapolo, F., Burgelman, J.-C.: Scenarios for Ambient Intelligence in 2010. Information Soc. Technol., Advisory Group (ISTAG), Inst. Prospective Technol. Studies (IPTS), Seville (2001)
    • (2001) Information Soc. Technol.
    • Ducatel, K.1    Bogdanowicz, M.2    Scapolo, F.3    Burgelman, J.-C.4
  • 7
    • 0036458291 scopus 로고    scopus 로고
    • A fuzzy incremental synchronous learning technique for embedded-agents learning and control in intelligent inhabited environments
    • Hagras, H., Colley, M., Callaghan, V., Clarke, G., Duman, H., Holmes, A.: A Fuzzy Incremental Synchronous Learning Technique for Embedded-Agents Learning and Control in Intelligent Inhabited Environments. In: Proc. of the 2002 IEEE Int. Conf. on Fuzzy Syst., (2002) 139-144
    • (2002) Proc. of the 2002 IEEE Int. Conf. on Fuzzy Syst. , pp. 139-144
    • Hagras, H.1    Colley, M.2    Callaghan, V.3    Clarke, G.4    Duman, H.5    Holmes, A.6
  • 8
    • 11844294047 scopus 로고    scopus 로고
    • A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environment
    • Doctor, F., Hagras, H., Callaghan, V.: A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environment. In: IEEE Trans. Sys. Man Cybern., vol. 35, no. 1, (2005) 55-65
    • (2005) IEEE Trans. Sys. Man Cybern. , vol.35 , Issue.1 , pp. 55-65
    • Doctor, F.1    Hagras, H.2    Callaghan, V.3
  • 9
    • 28844448952 scopus 로고    scopus 로고
    • Diploma thesis, University of Applied Science Rapperswil, Switzerland and Institute of Neuroinformatics, Swiss Federal Institute of Technology and University of Zurich, Switzerland
    • Rutishauser, U., Schaefer, A.: Adaptive Building Intelligence: A multi-Agent approach. Diploma thesis, University of Applied Science Rapperswil, Switzerland and Institute of Neuroinformatics, Swiss Federal Institute of Technology and University of Zurich, Switzerland (2002)
    • (2002) Adaptive Building Intelligence: A Multi-agent Approach
    • Rutishauser, U.1    Schaefer, A.2
  • 12
    • 0036703287 scopus 로고    scopus 로고
    • MASSIHN: A multi-agent architecture for intelligent home network service
    • Tsai, C. F., Wu, H. C.: MASSIHN: A Multi-Agent Architecture for Intelligent Home Network Service. In: IEEE Trans, on Consumer Electronics, vol. 46, (2002) 505-514
    • (2002) IEEE Trans, on Consumer Electronics , vol.46 , pp. 505-514
    • Tsai, C.F.1    Wu, H.C.2
  • 13
    • 33750049101 scopus 로고    scopus 로고
    • February
    • Echelon Corporation, "LonWorks Overview," February 2006, http://www.echelon.com/solutions/overview/default.htm
    • (2006) LonWorks Overview
  • 15
    • 11844301005 scopus 로고    scopus 로고
    • Generation of interpretable fuzzy granules by a double clustering technique
    • Castellano, G., Fanelli, A. M., Mencar, C.: Generation of interpretable fuzzy granules by a double clustering technique. In: Arch. Contr. Sci., vol. 12, no. 4, (2002) 397-410
    • (2002) Arch. Contr. Sci. , vol.12 , Issue.4 , pp. 397-410
    • Castellano, G.1    Fanelli, A.M.2    Mencar, C.3
  • 18
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    • The MW method completed: A flexible system approach to data minig
    • Wang, L. X.: The MW method completed: A flexible system approach to data minig. In: IEEE Trans. Fuzzy Syst., vol. 11, no. 6, (2003) 678-782
    • (2003) IEEE Trans. Fuzzy Syst. , vol.11 , Issue.6 , pp. 678-782
    • Wang, L.X.1
  • 19
    • 0026943536 scopus 로고
    • Generating fuzzy rule by learning from examples
    • Wang, L. X., Mendel, J. M.: Generating fuzzy rule by learning from examples. In: IEEE Trans. Syst. Man Cybern., vol. 22, no. 6, (1992) 1414-1427
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    • Wang, L.X.1    Mendel, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.