Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Asociación Española para la Inteligencia Artificial
2006
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=92503102 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Designing Logic-based Robots Felipe W. Trevizan Leliane N. de Barros Flávio S. Corréa da Silva Ingeniería Planning Cognitive Robotics LegoR MindStormsTM A rational agent exploring a complex and dynamic environment with incomplete information needs cognitivecapabilities, e.g. planning, in addition to its perception and reaction for basic functionalities. However, mereplanning, i.e., reasoning about sequences of actions, is not sufficient to solve problems in such complexenvironment. This is because (i) agents need to execute actions while they plan, (ii) they must gather andinterpret sensor information, (iii) revise their world model, and (iv) adapt their own goals during a task.The knowledge representation and non monotonic reasoning area has shown the advantage of using logicalformalisms to specify rational agents for complex robot applications, also called cognitive robotics applications.An example of such formalism is the Golog language and its different dialects. What those areasare still missing is implementational testbeds to evaluate existing theories. Since practical experimentationhighlights the need for the improvement of existing formal theories at the ontological level.This work presents a logic-based implementation of an agent for the Wumpus World domain, which can beenvisaged as a simplified model of an agent that reasons logically about its actions and sensor informationin the presence of incomplete knowledge. Through a complete implementation of an agent in a real robot,the LegoR MindStormsTM robot, we show some experiments to verify that the Wumpus World can be animplementational testbed used to identify difficulties in transforming theory into operational solutions. 2006 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503102 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.31 Vol.10