Abstract
An Artificial Life environment - getALife - is proposed, whose major aim is to provide a framework to evaluate single and multi-agent systems and evolutionary approaches to the development of reinforcement learning algorithms. The environment is based on a predator-prey scenario, with multiple species and where individuals are mainly characterized by their decision modules and genetic information. The platform is quite powerful, flexible, modular, visually attractive, easy to program and to use, making an interesting tool both to research and teaching. Two applications based on getALife are provided: the evaluation of a Neural Network based decision module with evolutionary learning and the development of a children's game.
| Original language | English |
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| Title of host publication | New challenges in applied intelligence technologies |
| Publisher | Springer Publishing Company |
| Publication date | 2008 |
| Pages | 35-44 |
| ISBN (Print) | 978-3-540-79354-0 |
| ISBN (Electronic) | 978-3-540-79355-7 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - Wroclaw, Poland Duration: 18 Jun 2008 → 20 Jun 2008 Conference number: 21 |
Conference
| Conference | 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems |
|---|---|
| Number | 21 |
| Country/Territory | Poland |
| City | Wroclaw |
| Period | 18/06/2008 → 20/06/2008 |
| Series | Studies in Computational Intelligence |
|---|---|
| Volume | 134 |
| ISSN | 1860-949X |