Title :
Knowledge or reactivity: where is the right trade-off for an artificial mind?
Author :
Pettinaro, Giovanni C.
Author_Institution :
Dept. of Syst. Eng., ABB Corp. Res., Vasteras, Sweden
Abstract :
As opposed to the many robotic systems extensively built exclusively around the knowledge paradigm, examples taken from nature show a considerable level of adaptability to their environment without requiring a complete knowledge of their world. Extrapolating from such examples, the behavioural paradigm maintains that, since biological instincts are not processed at an intentional level, there is no need for a global knowledge. Even though the purely behavioural paradigm provides a possible answer to the issue of real-time reactivity, it is clearly not enough to allow an agent to scale up to an intentional level. Thus, although reactivity should be an integral part of an “intelligent robot system”, knowledge should also play an important role in it. Defining the right trade-off between the two of them is the topic of this paper
Keywords :
intelligent control; real-time systems; robots; intelligent robot system; knowledge-based control; real-time reactivity; Animals; Centralized control; Control system synthesis; Humans; Intelligent systems; Knowledge engineering; Mechatronics; Robots; Software systems; Systems engineering and theory;
Conference_Titel :
Robot and Human Interaction, 1999. RO-MAN '99. 8th IEEE International Workshop on
Conference_Location :
Pisa
Print_ISBN :
0-7803-5841-4
DOI :
10.1109/ROMAN.1999.900305