LEADER 00834nam0-22002651i-450- 001 990006696260403321 005 20001010 035 $a000669626 035 $aFED01000669626 035 $a(Aleph)000669626FED01 035 $a000669626 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aCenni di storia della scuola italiana$edalla legge Casati al 1982. Appendice con documenti e dati sui programmi della scuola elementare del 1955$fG. Gozzer..e altri.- 210 $aRoma$cArmando Armando$d1982 702 1$aGozzer,$bGiovanni 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006696260403321 952 $aCOLLEZ. 1036 (111)$b7901$fFSPBC 959 $aFSPBC 996 $aCenni di storia della scuola italiana$9615992 997 $aUNINA DB $aGEN01 LEADER 05318nam 2200673Ia 450 001 9910139541803321 005 20170810181639.0 010 $a1-282-38053-2 010 $a9786612380532 010 $a3-527-62778-2 010 $a3-527-62779-0 035 $a(CKB)2550000000000532 035 $a(EBL)481737 035 $a(OCoLC)609682200 035 $a(SSID)ssj0000356420 035 $a(PQKBManifestationID)11298819 035 $a(PQKBTitleCode)TC0000356420 035 $a(PQKBWorkID)10349893 035 $a(PQKB)11171151 035 $a(MiAaPQ)EBC481737 035 $a(EXLCZ)992550000000000532 100 $a20090401d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAgent-directed simulation and systems engineering$b[electronic resource] /$fLevent Yilmaz and Tuncer O?ren 210 $aWeinheim $cWiley-VCH$d2009 215 $a1 online resource (551 p.) 225 1 $aWiley series in systems engineering and management 300 $aDescription based upon print version of record. 311 $a3-527-40781-2 320 $aIncludes bibliographical references and index. 327 $aAgent-Directed Simulation and Systems Engineering; Foreword; Contents; Preface; List of Contributors; Part One Background; 1 Modeling and Simulation: a Comprehensive and Integrative View; 1.1 Introduction; 1.2 Simulation: Several Perspectives; 1.2.1 Purpose of Use; 1.2.2 Problem to Be Solved; 1.2.3 Connectivity of Operations; 1.2.4 M&S as a Type of Knowledge Processing; 1.2.5 M&S from the Perspective of Philosophy of Science; 1.3 Model-Based Activities; 1.3.1 Model Building; 1.3.2 Model-Base Management; 1.3.3 Model Processing; 1.3.4 Behavior Generation 327 $a1.4 Synergies of M&S: Mutual and Higher-Order Contributions1.5 Advancement of M&S; 1.6 Preeminence of M&S; 1.6.1 Physical Tools; 1.6.2 Knowledge-Based or Soft Tools; 1.6.3 Knowledge Generation Tools; 1.7 Summary and Conclusions; 2 Autonomic Introspective Simulation Systems; 2.1 Introduction; 2.2 Perspective and Background on Autonomic Systems; 2.3 Decentralized Autonomic Simulation Systems: Prospects and Issues; 2.3.1 Motivating Scenario: Adaptive Experience Management in Distributed Mission Training; 2.3.2 An Architectural Framework for Decentralized Autonomic Simulation Systems 327 $a2.3.3 Challenges and Issues2.4 Symbiotic Adaptive Multisimulation: An Autonomic Simulation System; 2.4.1 Metamodels for Introspection Layer Design; 2.4.2 Local Adaptation: First-Order Change via Particle Swarm Optimizer; 2.4.3 The Learning Layer: Genetic Search of Potential System Configurations; 2.4.4 SAMS Component Architecture; 2.5 Case Study: UAV Search and Attack Scenario; 2.5.1 Input Factors; 2.5.2 Agent Specifications; 2.6 Validation and Preliminary Experimentation with SAMS; 2.6.1 Face Validity of the UAV Model; 2.6.2 Experiments with the Parallel SAMS Application; 2.7 Summary 327 $aPart Two Agents and Modeling and Simulation3 Agents: Agenthood, Agent Architectures, and Agent Taxonomies; 3.1 Introduction; 3.2 Agenthood; 3.2.1 Defining Agents; 3.2.2 Situated Environment and Agent Society; 3.3 Agent Architectures; 3.3.1 Realizing Situatedness; 3.3.2 Realizing Autonomy; 3.3.3 Realizing Flexibility; 3.3.4 Architectures and Characteristics; 3.4 Agenthood Implications for Practical Applications; 3.4.1 Systems Engineering, Simulation, and Agents; 3.4.2 Modeling and Simulating Human Behavior for Systems Engineering; 3.4.3 Simulation-Based Testing in Systems Engineering 327 $a3.4.4 Simulation as Support for Decision Making in Systems Engineering3.4.5 Implications for Modeling and Simulation Methods; 3.5 Agent Taxonomies; 3.5.1 History and Application-Specific Taxonomies; 3.5.2 Categorizing the Agent Space; 3.6 Concluding Discussion; 4 Agent-directed Simulation; 4.1 Introduction; 4.2 Background; 4.2.1 Software Agents; 4.2.2 Complexity; 4.2.3 Complex Systems of Systems; 4.2.4 Software Agents within the Spectrum of Computational Paradigms; 4.3 Categorizing the Use of Agents in Simulation; 4.3.1 Agent Simulation; 4.3.2 Agent-Based Simulation 327 $a4.3.3 Agent-Supported Simulation 330 $aThe only book to present the synergy between modeling and simulation, systems engineering, and agent technologies expands the notion of agent-based simulation to also deal with agent simulation and agent-supported simulation. 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