LEADER 04760nam 22007935 450 001 996466050503316 005 20200702125906.0 010 $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$b[electronic resource] $eAn Agent-Based Framework for Complex Problem Solving /$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 $aLecture Notes in Artificial Intelligence ;$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 ;$v2938 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aComputers 606 $aDatabase management 606 $aApplication software 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aComputers. 615 0$aDatabase management. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aComputation by Abstract Devices. 615 24$aDatabase Management. 615 24$aComputer Appl. 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 $a996466050503316 996 $aAgent-Based Hybrid Intelligent Systems$92875483 997 $aUNISA