2011 Agent-Directed Simulation Symposium (ADS)
| 2011 Agent-Directed Simulation Symposium (ADS) |
| Autore | Yilmaz Levent <1971-> |
| Pubbl/distr/stampa | [Place of publication not identified], : Society for Computer Simulation International, 2011 |
| Descrizione fisica | 1 online resource (126 pages) |
| Collana | ACM Other conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science Civil & Environmental Engineering Operations Research |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 2011 Workshop on Agent-Directed Simulation
ADS |
| Record Nr. | UNINA-9910376129103321 |
Yilmaz Levent <1971->
|
||
| [Place of publication not identified], : Society for Computer Simulation International, 2011 | ||
| Lo trovi qui: Univ. Federico II | ||
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Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören
| Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, 2009 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina | 620.00113 |
| Altri autori (Persone) |
ÖrenTuncer I
YilmazLevent <1971-> |
| Collana | Wiley series in systems engineering and management |
| Soggetto topico |
Computer simulation
Intelligent agents (Computer software) Systems engineering - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-38053-2
9786612380532 3-527-62778-2 3-527-62779-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Agent-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
1.4 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 2.3.3 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 Part 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 3.4.4 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 4.3.3 Agent-Supported Simulation |
| Record Nr. | UNINA-9910139541803321 |
| Weinheim, : Wiley-VCH, 2009 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören
| Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, 2009 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina | 620.00113 |
| Altri autori (Persone) |
ÖrenTuncer I
YilmazLevent <1971-> |
| Collana | Wiley series in systems engineering and management |
| Soggetto topico |
Computer simulation
Intelligent agents (Computer software) Systems engineering - Data processing |
| ISBN |
1-282-38053-2
9786612380532 3-527-62778-2 3-527-62779-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Agent-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
1.4 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 2.3.3 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 Part 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 3.4.4 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 4.3.3 Agent-Supported Simulation |
| Record Nr. | UNINA-9910830138603321 |
| Weinheim, : Wiley-VCH, 2009 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agent-directed simulation and systems engineering / / Levent Yilmaz and Tuncer Oren
| Agent-directed simulation and systems engineering / / Levent Yilmaz and Tuncer Oren |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, 2009 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina | 620.00113 |
| Altri autori (Persone) |
OrenTuncer I
YilmazLevent <1971-> |
| Collana | Wiley series in systems engineering and management |
| Soggetto topico |
Computer simulation
Intelligent agents (Computer software) Systems engineering - Data processing |
| ISBN |
9786612380532
9781282380530 1282380532 9783527627783 3527627782 9783527627790 3527627790 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Agent-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
1.4 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 2.3.3 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 Part 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 3.4.4 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 4.3.3 Agent-Supported Simulation |
| Record Nr. | UNINA-9911019132403321 |
| Weinheim, : Wiley-VCH, 2009 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 2012 Symposium on Agent Directed Simulation
| Proceedings of the 2012 Symposium on Agent Directed Simulation |
| Autore | Yilmaz Levent <1971-> |
| Pubbl/distr/stampa | [Place of publication not identified], : Society for Computer Simulation International, 2012 |
| Descrizione fisica | 1 online resource (72 pages) |
| Collana | ACM Other conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| ISBN | 1-61839-783-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | ADS 2012 |
| Record Nr. | UNINA-9910376321403321 |
Yilmaz Levent <1971->
|
||
| [Place of publication not identified], : Society for Computer Simulation International, 2012 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 2013 Spring Simulation Multiconference : Agent-Directed Simulation Symposium (ADS 2013)
| Proceedings of the 2013 Spring Simulation Multiconference : Agent-Directed Simulation Symposium (ADS 2013) |
| Autore | Yilmaz Levent <1971-> |
| Pubbl/distr/stampa | [Place of publication not identified], : Society for Computer Simulation International, 2013 |
| Descrizione fisica | 1 online resource (91 pages) |
| Collana | Simulation Series |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| ISBN | 1-62748-029-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the Agent-Directed Simulation Symposium
ADS 2013 |
| Record Nr. | UNINA-9910375730103321 |
Yilmaz Levent <1971->
|
||
| [Place of publication not identified], : Society for Computer Simulation International, 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||