Agent-based Spatial Simulation with NetLogo, Volume 2
Advanced Concepts
Nonfiction, Computers, Programming, Programming Languages, General Computing
| Author: | ISBN: | 9780081010648 | |
| Publisher: | Elsevier Science | Publication: | November 26, 2016 |
| Imprint: | ISTE Press - Elsevier | Language: | English |
| Author: | |
| ISBN: | 9780081010648 |
| Publisher: | Elsevier Science |
| Publication: | November 26, 2016 |
| Imprint: | ISTE Press - Elsevier |
| Language: | English |
Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities.
The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented.
This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content.
- Illustrates advanced concepts and methods in agent-based spatial simulation
- Features practical examples developed, and commented on, in a unique platform
- Provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content
Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities.
The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented.
This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content.
- Illustrates advanced concepts and methods in agent-based spatial simulation
- Features practical examples developed, and commented on, in a unique platform
- Provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content
