Cognitive agent-based computing: exploring emergent behavior in complex systems using agent-based modeling

Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been vertical in nature. The goal of this manuscript is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems, research networks, epidemiological HIV INDICE: 1. Introduction to Agent-based Computing.- 2. Concept of Agent.- 3. Agent vs. Intelligent Agent.- 4. Unstructured programming.- 5. Procedural programming.- 6. Structured programming.- 7. Object Oriented programming.- 8. Agent-Oriented Programming.- 9. Intelligent Agent Design issues.- 10. Agent-based Modeling (or massively multi-agent systems).- 11. Agent-based Modeling in depth.- 12. Building ABM in NetLogo.- 13. Applications in Social Sciences.- 14. Application in CS.- 15. Applications in Life Sciences.- 16. Conclusions.

• ISBN: 978-94-007-3851-5
• Editorial: Springer
• Encuadernacion: Rústica
• Páginas: 70
• Fecha Publicación: 31/08/2012
• Nº Volúmenes: 1
• Idioma: Inglés