Emergent Intelligence
By ai-depot | August 16, 2002
Conclusion
Conclusion
The main idea behind the system described in this essay is the intelligent behavior that can emerge as a consequence of the self-organization of a collection of simple individuals. An example has been covered involving a biologically inspired system, multi-agents and genetic algorithms. All these ideas were used together to compose a graph search algorithm in order to provide a good source of information from theory to practice.
Both the ant colony model and the Genetic Algorithms as presented in this essay are just one of the possible ways to implement these techniques. Most authors and researchers use different approaches that are usually specific to a given problem. The main idea here was to use these techniques as close as possible to the natural biological system. Although it may be not the optimal solution, it is an easy way to understand the concept behind these AI tools. It may be also a good tutorial on how to get started with these techniques and how to use different AI concepts together.
Finally, feel free to if you have any problems understanding this essay or if you want to discuss these ideas.
Links
- Download the simulation program (250k)
- Download the source code (20k) Information on biological ants:
- The Behavior of Ants
Other applications of ant colony systems:
- Ant Colony Optimization
- Numerical simulations of foraging behavior of ant colonies
Genetic Algorithms:
- Genetic Algorithms Warehouse
- Generation 5
Written by Danilo Benzatti.
Tags: none
Category: tutorial |
