LEADER 04413nam 22007935 450 001 9910145797203321 005 20230810201014.0 010 $a1-280-30678-5 010 $a9786610306787 010 $a3-540-24623-1 024 7 $a10.1007/b95170 035 $a(CKB)1000000000016823 035 $a(DE-He213)978-3-540-24623-7 035 $a(SSID)ssj0000100299 035 $a(PQKBManifestationID)11131566 035 $a(PQKBTitleCode)TC0000100299 035 $a(PQKBWorkID)10020108 035 $a(PQKB)10397030 035 $a(MiAaPQ)EBC3088929 035 $a(PPN)155169254 035 $a(EXLCZ)991000000000016823 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgent-Based Hybrid Intelligent Systems $eAn Agent-Based Framework for Complex Problem Solving /$fedited by Zili Zhang, Chengqi Zhang 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (XV, 194 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v2938 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-20908-5 320 $aIncludes bibliographical references and index. 327 $aFundamentals of Hybrid Intelligent Systems and Agents -- 1 Introduction -- 2 Basics of Hybrid Intelligent Systems -- 3 Basics of Agents and Multi-agent Systems -- Methodology and Framework -- 4 Agent-Oriented Methodologies -- 5 Agent-Based Framework for Hybrid Intelligent Systems -- 6 Matchmaking in Middle Agents -- Application Systems -- 7 Agent-Based Hybrid Intelligent System for Financial Investment Planning -- 8 Agent-Based Hybrid Intelligent System for Data Mining -- Concluding Remarks -- 9 The Less the More -- Appendix: Sample Source Codes of the Agent-Based Financial Planning System -- References. 330 $aSolving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v2938 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aComputer science 606 $aDatabase management 606 $aInformation technology$xManagement 606 $aArtificial Intelligence 606 $aSoftware Engineering 606 $aTheory of Computation 606 $aDatabase Management 606 $aComputer Application in Administrative Data Processing 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aComputer science. 615 0$aDatabase management. 615 0$aInformation technology$xManagement. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aTheory of Computation. 615 24$aDatabase Management. 615 24$aComputer Application in Administrative Data Processing. 676 $a006.3/3 700 $aZhang$b Zili$cPh. D.$01239223 702 $aZhang$b Zili$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Chengqi$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910145797203321 996 $aAgent-Based Hybrid Intelligent Systems$92875483 997 $aUNINA LEADER 01083oam 2200373zu 450 001 9910145526203321 005 20241212215659.0 010 $a9781509077731 010 $a1509077731 010 $a9781424420667 010 $a1424420660 035 $a(CKB)1000000000710859 035 $a(SSID)ssj0000445491 035 $a(PQKBManifestationID)12193144 035 $a(PQKBTitleCode)TC0000445491 035 $a(PQKBWorkID)10485296 035 $a(PQKB)10610211 035 $a(EXLCZ)991000000000710859 100 $a20160829d2008 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aNOMS 2008 - 2008 IEEE Network Operations and Management Symposium 210 31$a[Place of publication not identified]$cI E E E$d2008 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781424420650 311 08$a1424420652 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910145526203321 996 $aNOMS 2008 - 2008 IEEE Network Operations and Management Symposium$92504396 997 $aUNINA