Cognitive Agent-based Computing-I
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
| Autor: | Hussain, Amir Niazi, Muaz A |
|---|---|
| ISBN: | 9789400738515 |
| Sprache: | Englisch |
| Seitenzahl: | 55 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Netherland |
| Veröffentlicht: | 30.10.2012 |
| Untertitel: | A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods |
| Schlagworte: | Agent-based Modeling Agent-oriented Software Engineering Cognitive Computation Complex Adaptive Systems Self-Organisation |