Artificial Life Models in Software [electronic resource] / edited by Maciej Komosinski, Andrew Adamatzky.
Publisher: London : Springer London, 2009Description: XXI, 441 p. online resourceContent type:- text
- computer
- online resource
- 9781848822856
- Computer science
- Software engineering
- User interfaces (Computer systems)
- Artificial intelligence
- Computer simulation
- Computer graphics
- Application software
- Computer Science
- Simulation and Modeling
- Artificial Intelligence (incl. Robotics)
- Computer Imaging, Vision, Pattern Recognition and Graphics
- Computer Appl. in Arts and Humanities
- User Interfaces and Human Computer Interaction
- Software Engineering
- 003.3 23
- QA76.9.C65

Virtual Environments -- Avida -- Foundations of and Recent Advances in Artificial Life Modeling with Repast 3 and Repast Simphony -- Sodarace -- 3D Multi-Agent Simulations in the breve Simulation Environment -- Framsticks -- Lattice Worlds -- StarLogo TNG -- From Artificial Life to In Silico Medicine -- Discrete Dynamics Lab -- EINSTein -- Artificial Chemistries -- From Artificial Chemistries to Systems Biology -- Spatially Resolved Artificial Chemistry -- Artificial Life Arts -- Simulated Breeding -- The Evolution of Sonic Ecosystems -- Enriching Aesthetics with Artificial Life.
Artificial Life Models in Software provides an introduction and guide to modern software tools for modeling and simulating life-like phenomena, written by those who personally design and develop software, hardware, and art installations in artificial life, simulated complex systems and virtual worlds. This timely volume offers a nearly exhaustive overview and original analysis of major non-profit software packages that are actively developed and supported by experts in artificial life and software design. The carefully selected topics include: • simulation and evolution of real and artificial life forms, • natural and artificial morphogenesis, • self-organization, • models of communication and social behaviors, • emergent collective behaviors and swarm intelligence, • agent-based simulations, • autonomous and evolutionary robotics, • adaptive, complex and biologically inspired ecosystems, • artificial chemistries, • creative computer art. The models of life presented here are essential components in undergraduate and post-graduate courses in complex adaptive systems, multi-agent systems, collective robotics and nature-inspired computing. Readers interested in artificial life, evolutionary biology, simulation, cybernetics, computer graphics and animation, neuroscience, cognitive science, and philosophy will find this monograph a valuable guide and an excellent resource for supplementary reading.