Multi-agent software control system with hybrid intelligence for ubiquitous intelligent environments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4611 LNCS, Issue , 2007, Pages 1046-1055

  Wang, Kevin I Kai ^a   Abdulla, Waleed H ^a   Salcic, Zoran ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE MAINTENANCE; DATA ACQUISITION; EMBEDDED SYSTEMS; INTELLIGENT CONTROL; SENSORS; UBIQUITOUS COMPUTING;

DISTRIBUTED EMBEDDED INTELLIGENCE ROOM (DEIR); MULTIAGENT CONTROL SYSTEMS; UBIQUITOUS INTELLIGENT ENVIRONMENT PLATFORM;

MULTI AGENT SYSTEMS;

EID: 38049029642     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73549-6_102     Document Type: Conference Paper

References (17)

1. Augusto, J.C., Nugent, C.D. (eds.): Designing Smart Homes. LNCS (LNAI), vol.4008. Springer, Heidelberg (2006)
2. 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)
3. Philips, B.A.: Metaglue: A Programming Language for Multi-Agent Systems. In: M.Eng. thesis, MIT, Cambridge, MA, USA (1999)
4. Gajos, K.: A Knowledge-Based Resource Management System For The Intelligent Room. In: M.Eng. thesis, MIT, Cambridge, MA, USA (2000)
5. Peters, L.S.: Hyperglue: An Infrastructure for Human-Centred Computing in Distributed, Pervasive, Intelligent Environments. In: PhD thesis, MIT, Cambridge, MA, USA (2006)
6. Doctor, F., Hagras, H., Callaghan, V.: A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environment. IEEE Trans. Sys. Man Cybern. 35(1), 55-65 (2005)
7. Mozer, M.: The neural network house: An environment that adapts to its inhabitants. In: Proc. Amer. Assoc. Artif. Intell. Spring Symp. Intell. Environ., pp. 110-114 (1998)
8. Brumitt, B., Cadiz, J.J.: Let There Be Light! Comparing Interfaces for Homes of the Future. Microsoft Research, Redmond, WA 98052, MSR-TR-2000-92 (2000)
9. Ambient intelligence for the networked home environment (Amigo) (January 2007), http://www.hitech-projects.com/euprojects/amigo/index.htm
10. Parkka, J., Ermes, M., Korpipaa, P., Mantyjarvi, J., Peltola, J., Korhonen, I.: Activity Classification Using Realistic Data From Wearable Sensors. IEEE Trans. Info. Tech. in Biomedicine 10(1), 119-128 (2006)
11. Papageorgiou, E., Stylios, C., Groumpos, P.: A Combined Fuzzy Cognitive Map and Decision Trees Model for Medical Decision Making. In: Proc. of the 28th IEEE EMBS Annual Int. Conf, pp. 6117-6120. IEEE Computer Society Press, Los Alamitos (2006)
12. Wang, K.I., Abdulla, W.H., Salcic, Z.: Distributed Embedded Intelligence Room with Multi-agent Cooperative Learning. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.J.-P. (eds.) UIC 2006. LNCS, vol. 4159, pp. 147-156. Springer, Heidelberg (2006)
13. Wang, K.I., Abdulla, W.H., Salcic, Z.: Multi-agent fuzzy inference control system for intelligent environments using JADE. In: Proc. of 2nd IET Int. Conf. on Intel. Environ., pp. 285-294 (2006)
14. Echelon Corporation: LonWorks Overview (February 2006) http://www.echelon.com/solutions/overview/default.htm
15. Mitchell, T.M.: Machine Learning. McGraw-Hill, New York (1997)
16. Castellano, G., Fanelli, A.M., Mencar, C.: Generation of interpretable fuzzy granules by a double clustering technique. Arch. Conti. Sci. 12(4), 397-410 (2002)
17. Wang, L.X.: The MW method completed: A flexible system approach to data minig. IEEE Trans. Fuzzy Syst. 11(6), 678-782 (2003)