Abstract
The purpose of this paper is to explore the effect of adding known amounts of memory to pure reactive systems in a variety of tasks. Usinga finite state machine approach, we construct controllers for a simulated robot for five tasks—obstacle avoidance, wall following, exploration, and box pushing—with two sensor configurations using evolutionary computation techniques, and compare the performance of stateless and memory-based controllers. For obstacle avoidance and exploration no significant difference is observed; for wall-following and box pushing, stateless controllers are significantly worse than memory-based but increasing amounts of memory give no significant increase in performance. The need for memory in these cases reflects a need to discriminate sensorimotor contexts to effectively perform the task.
| Original language | English |
|---|---|
| Title of host publication | Advances in Artificial Life - 6th European Conference, ECAL 2001, Proceedings |
| Editors | Jozef Kelemen, Petr Sosik |
| Publisher | Springer Verlag |
| Pages | 529-538 |
| Number of pages | 10 |
| ISBN (Print) | 3540425675, 9783540425670 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 6th European Conference on Advances in Artificial Life, ECAL 2001 - Prague, Czech Republic Duration: 2001 Sept 10 → 2001 Sept 14 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2159 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 6th European Conference on Advances in Artificial Life, ECAL 2001 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 01/9/10 → 01/9/14 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2001.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)