Autonomous agents and multi-agent systems [[electronic resource] ] : explorations in learning, self-organization, and adaptive computation / / Jiming Liu |
Autore | Liu Jiming <1962-> |
Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2001 |
Descrizione fisica | 1 online resource (300 p.) |
Disciplina | 006.3 |
Soggetto topico |
Intelligent agents (Computer software)
Self-organizing systems |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-96074-8
9786611960742 981-281-184-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface; Acknowledgements; Contents; Chapter 1 Introduction; 1.1 What is an Agent?; 1.2 Basic Questions and Fundamental Issues; 1.3 Learning; 1.3.1 Learning in Natural and Artificial Systems; 1.3.2 Agent Learning Techniques; 1.4 Neural Agents; 1.4.1 Self-Organizing Maps (SOM); 1.4.2 SOM Applications; 1.5 Evolutionary Agents; 1.6 Learning in Cooperative Agents; 1.7 Computational Architectures; 1.7.1 Subsumption Architecture; 1.7.2 Action Selection; 1.7.3 Motif Architecture; 1.8 Agent Behavioral Learning; 1.8.1 What is the Behavior of a Learning Agent?; 1.8.2 What is Behavioral Learning?
Chapter 2 Behavioral Modeling, Planning, and Learning2.1 Manipulation Behaviors; 2.2 Modeling and Planning Manipulation Behaviors; 2.2.1 State-Oriented Representation; 2.2.2 State-Transition Function (Φ); 2.2.3 Behavioral Planning Based on Action Schemata; 2.3 Manipulation Behavioral Learning; 2.3.1 Automatic Induction of State Transitions; 2.3.2 Empirical Sample Generation; 2.4 Summary; 2.5 Other Modeling, Planning, and Learning Methods; 2.5.1 Artificial Potential Fields (APF); 2.5.2 Artificial Neural Networks (ANN); 2.5.3 Similarities and Differences between APF and ANN; 2.5.4 APF Meets ANN 2.5.5 Summary2.6 Bibliographical and Historical Remarks; 2.6.1 Assembly Operation Planning; 2.6.2 AI Planning; 2.6.3 Manipulation Behavioral Planning; Chapter 3 Synthetic Autonomy; 3.1 Synthetic Autonomy Based on Behavioral Self-Organization; 3.2 Behavioral Self-Organization; 3.2.1 Overview; 3.2.2 The Athlete Agent; 3.3 Summary; 3.4 Bibliographical and Historical Remarks; 3.4.1 Animation of Articulated Figures; 3.4.2 Lifelike Behavior; 3.4.3 Emergent Behavior; Chapter 4 Dynamics of Distributed Computation; 4.1 Definitions; 4.2 Overview of the Approach; 4.2.1 Local Stimuli to Agents 4.2.2 Reactive Behavior of Distributed Agents4.3 Dynamics of Agent-Based Distributed Search; 4.3.1 Dynamic Systems Models; 4.3.2 Agents with Different Dynamic Behaviors; 4.3.3 Summary of Agent-Based Distributed Computation; 4.4 Remarks; 4.4.1 Dynamic Systems Modeling; 4.4.2 Agent Semi-Autonomy; 4.4.3 Characteristics of the Agent-Based Approach; 4.4.4 The Goal-Attainability of Agents; 4.5 Summary; 4.5.1 Open Problems; 4.5.2 Extensions; 4.6 Bibliographical and Historical Remarks; Chapter 5 Self-Organized Autonomy in Multi-Agent Systems; 5.1 Collective Vision and Motion 5.2 Self-Organized Vision for Image Feature Detection and Tracking5.2.1 Overview of Self-Organized Vision; 5.2.2 A Two-Dimensional Lattice Environment; 5.2.3 Local Stimuli in a Two-Dimensional Lattice; 5.2.4 Self-Organizing Behaviors; 5.2.5 The Reproduce-and-Diffuse (R-D) Algorithm; 5.2.6 Examples; 5.3 Self-Organized Motion in Group Robots; 5.3.1 The Task of Group Navigation and Homing; 5.3.2 Overview of the Multi-Agent System; 5.3.3 Local Memory-Based Behavioral Selection and Global Performance-Based Behavioral Learning; 5.3.4 Dynamics of Different Agent Groups; 5.3.5 Examples; 5.3.6 Remarks 5.4 Summary |
Record Nr. | UNINA-9910450507503321 |
Liu Jiming <1962-> | ||
Singapore ; ; River Edge, N.J., : World Scientific, c2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Autonomous agents and multi-agent systems [[electronic resource] ] : explorations in learning, self-organization, and adaptive computation / / Jiming Liu |
Autore | Liu Jiming <1962-> |
Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2001 |
Descrizione fisica | 1 online resource (300 p.) |
Disciplina | 006.3 |
Soggetto topico |
Intelligent agents (Computer software)
Self-organizing systems |
ISBN |
1-281-96074-8
9786611960742 981-281-184-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface; Acknowledgements; Contents; Chapter 1 Introduction; 1.1 What is an Agent?; 1.2 Basic Questions and Fundamental Issues; 1.3 Learning; 1.3.1 Learning in Natural and Artificial Systems; 1.3.2 Agent Learning Techniques; 1.4 Neural Agents; 1.4.1 Self-Organizing Maps (SOM); 1.4.2 SOM Applications; 1.5 Evolutionary Agents; 1.6 Learning in Cooperative Agents; 1.7 Computational Architectures; 1.7.1 Subsumption Architecture; 1.7.2 Action Selection; 1.7.3 Motif Architecture; 1.8 Agent Behavioral Learning; 1.8.1 What is the Behavior of a Learning Agent?; 1.8.2 What is Behavioral Learning?
Chapter 2 Behavioral Modeling, Planning, and Learning2.1 Manipulation Behaviors; 2.2 Modeling and Planning Manipulation Behaviors; 2.2.1 State-Oriented Representation; 2.2.2 State-Transition Function (Φ); 2.2.3 Behavioral Planning Based on Action Schemata; 2.3 Manipulation Behavioral Learning; 2.3.1 Automatic Induction of State Transitions; 2.3.2 Empirical Sample Generation; 2.4 Summary; 2.5 Other Modeling, Planning, and Learning Methods; 2.5.1 Artificial Potential Fields (APF); 2.5.2 Artificial Neural Networks (ANN); 2.5.3 Similarities and Differences between APF and ANN; 2.5.4 APF Meets ANN 2.5.5 Summary2.6 Bibliographical and Historical Remarks; 2.6.1 Assembly Operation Planning; 2.6.2 AI Planning; 2.6.3 Manipulation Behavioral Planning; Chapter 3 Synthetic Autonomy; 3.1 Synthetic Autonomy Based on Behavioral Self-Organization; 3.2 Behavioral Self-Organization; 3.2.1 Overview; 3.2.2 The Athlete Agent; 3.3 Summary; 3.4 Bibliographical and Historical Remarks; 3.4.1 Animation of Articulated Figures; 3.4.2 Lifelike Behavior; 3.4.3 Emergent Behavior; Chapter 4 Dynamics of Distributed Computation; 4.1 Definitions; 4.2 Overview of the Approach; 4.2.1 Local Stimuli to Agents 4.2.2 Reactive Behavior of Distributed Agents4.3 Dynamics of Agent-Based Distributed Search; 4.3.1 Dynamic Systems Models; 4.3.2 Agents with Different Dynamic Behaviors; 4.3.3 Summary of Agent-Based Distributed Computation; 4.4 Remarks; 4.4.1 Dynamic Systems Modeling; 4.4.2 Agent Semi-Autonomy; 4.4.3 Characteristics of the Agent-Based Approach; 4.4.4 The Goal-Attainability of Agents; 4.5 Summary; 4.5.1 Open Problems; 4.5.2 Extensions; 4.6 Bibliographical and Historical Remarks; Chapter 5 Self-Organized Autonomy in Multi-Agent Systems; 5.1 Collective Vision and Motion 5.2 Self-Organized Vision for Image Feature Detection and Tracking5.2.1 Overview of Self-Organized Vision; 5.2.2 A Two-Dimensional Lattice Environment; 5.2.3 Local Stimuli in a Two-Dimensional Lattice; 5.2.4 Self-Organizing Behaviors; 5.2.5 The Reproduce-and-Diffuse (R-D) Algorithm; 5.2.6 Examples; 5.3 Self-Organized Motion in Group Robots; 5.3.1 The Task of Group Navigation and Homing; 5.3.2 Overview of the Multi-Agent System; 5.3.3 Local Memory-Based Behavioral Selection and Global Performance-Based Behavioral Learning; 5.3.4 Dynamics of Different Agent Groups; 5.3.5 Examples; 5.3.6 Remarks 5.4 Summary |
Record Nr. | UNINA-9910783144003321 |
Liu Jiming <1962-> | ||
Singapore ; ; River Edge, N.J., : World Scientific, c2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Autonomous agents and multi-agent systems : explorations in learning, self-organization, and adaptive computation / / Jiming Liu |
Autore | Liu Jiming <1962-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2001 |
Descrizione fisica | 1 online resource (300 p.) |
Disciplina | 006.3 |
Soggetto topico |
Intelligent agents (Computer software)
Self-organizing systems |
ISBN |
1-281-96074-8
9786611960742 981-281-184-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface; Acknowledgements; Contents; Chapter 1 Introduction; 1.1 What is an Agent?; 1.2 Basic Questions and Fundamental Issues; 1.3 Learning; 1.3.1 Learning in Natural and Artificial Systems; 1.3.2 Agent Learning Techniques; 1.4 Neural Agents; 1.4.1 Self-Organizing Maps (SOM); 1.4.2 SOM Applications; 1.5 Evolutionary Agents; 1.6 Learning in Cooperative Agents; 1.7 Computational Architectures; 1.7.1 Subsumption Architecture; 1.7.2 Action Selection; 1.7.3 Motif Architecture; 1.8 Agent Behavioral Learning; 1.8.1 What is the Behavior of a Learning Agent?; 1.8.2 What is Behavioral Learning?
Chapter 2 Behavioral Modeling, Planning, and Learning2.1 Manipulation Behaviors; 2.2 Modeling and Planning Manipulation Behaviors; 2.2.1 State-Oriented Representation; 2.2.2 State-Transition Function (Φ); 2.2.3 Behavioral Planning Based on Action Schemata; 2.3 Manipulation Behavioral Learning; 2.3.1 Automatic Induction of State Transitions; 2.3.2 Empirical Sample Generation; 2.4 Summary; 2.5 Other Modeling, Planning, and Learning Methods; 2.5.1 Artificial Potential Fields (APF); 2.5.2 Artificial Neural Networks (ANN); 2.5.3 Similarities and Differences between APF and ANN; 2.5.4 APF Meets ANN 2.5.5 Summary2.6 Bibliographical and Historical Remarks; 2.6.1 Assembly Operation Planning; 2.6.2 AI Planning; 2.6.3 Manipulation Behavioral Planning; Chapter 3 Synthetic Autonomy; 3.1 Synthetic Autonomy Based on Behavioral Self-Organization; 3.2 Behavioral Self-Organization; 3.2.1 Overview; 3.2.2 The Athlete Agent; 3.3 Summary; 3.4 Bibliographical and Historical Remarks; 3.4.1 Animation of Articulated Figures; 3.4.2 Lifelike Behavior; 3.4.3 Emergent Behavior; Chapter 4 Dynamics of Distributed Computation; 4.1 Definitions; 4.2 Overview of the Approach; 4.2.1 Local Stimuli to Agents 4.2.2 Reactive Behavior of Distributed Agents4.3 Dynamics of Agent-Based Distributed Search; 4.3.1 Dynamic Systems Models; 4.3.2 Agents with Different Dynamic Behaviors; 4.3.3 Summary of Agent-Based Distributed Computation; 4.4 Remarks; 4.4.1 Dynamic Systems Modeling; 4.4.2 Agent Semi-Autonomy; 4.4.3 Characteristics of the Agent-Based Approach; 4.4.4 The Goal-Attainability of Agents; 4.5 Summary; 4.5.1 Open Problems; 4.5.2 Extensions; 4.6 Bibliographical and Historical Remarks; Chapter 5 Self-Organized Autonomy in Multi-Agent Systems; 5.1 Collective Vision and Motion 5.2 Self-Organized Vision for Image Feature Detection and Tracking5.2.1 Overview of Self-Organized Vision; 5.2.2 A Two-Dimensional Lattice Environment; 5.2.3 Local Stimuli in a Two-Dimensional Lattice; 5.2.4 Self-Organizing Behaviors; 5.2.5 The Reproduce-and-Diffuse (R-D) Algorithm; 5.2.6 Examples; 5.3 Self-Organized Motion in Group Robots; 5.3.1 The Task of Group Navigation and Homing; 5.3.2 Overview of the Multi-Agent System; 5.3.3 Local Memory-Based Behavioral Selection and Global Performance-Based Behavioral Learning; 5.3.4 Dynamics of Different Agent Groups; 5.3.5 Examples; 5.3.6 Remarks 5.4 Summary |
Record Nr. | UNINA-9910816962903321 |
Liu Jiming <1962-> | ||
Singapore ; ; River Edge, N.J., : World Scientific, c2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computational epidemiology : from disease transmission modeling to vaccination decision making / / Jiming Liu, Shang Xia |
Autore | Liu Jiming <1962-> |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XVIII, 113 p. 50 illus., 20 illus. in color.) |
Disciplina | 614.40285 |
Collana | Health information science |
Soggetto topico |
Epidemiology - Data processing
Epidemiology - Computer simulation |
ISBN | 3-030-52109-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Paradigms in Epidemiology -- Computational Modeling in a Nutshell -- Developing Strategies for Vaccine Allocation -- Explaining Individuals’ Vaccination Decisions -- Characterizing Socially-Influenced Vaccination Decisions -- Understanding the Impact of Social Media -- Welcome to the Era of Systems Epidemiology. |
Record Nr. | UNINA-9910427686203321 |
Liu Jiming <1962-> | ||
Cham, Switzerland : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computational epidemiology : from disease transmission modeling to vaccination decision making / / Jiming Liu, Shang Xia |
Autore | Liu Jiming <1962-> |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XVIII, 113 p. 50 illus., 20 illus. in color.) |
Disciplina | 614.40285 |
Collana | Health information science |
Soggetto topico |
Epidemiology - Data processing
Epidemiology - Computer simulation |
ISBN | 3-030-52109-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Paradigms in Epidemiology -- Computational Modeling in a Nutshell -- Developing Strategies for Vaccine Allocation -- Explaining Individuals’ Vaccination Decisions -- Characterizing Socially-Influenced Vaccination Decisions -- Understanding the Impact of Social Media -- Welcome to the Era of Systems Epidemiology. |
Record Nr. | UNISA-996465345003316 |
Liu Jiming <1962-> | ||
Cham, Switzerland : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|