C. Tsatsoulis et Rl. Kashyap, CASE-BASED REASONING AND LEARNING IN MANUFACTURING WITH THE TOLTEC PLANNER, IEEE transactions on systems, man, and cybernetics, 23(4), 1993, pp. 1010-1023
Citations number
60
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Applications & Cybernetics
The research presented concentrates on bringing together case-based re
asoning and expert knowledge-based reasoning in a planner called TOLTE
C. The expert's domain-specific knowledge is modeled as dynamic memory
structures and this representation is used to help the planner reason
and control its planning process. TOLTEC uses a complex indexing of i
ts cases, so as to allow incremental retrieval. The TOLTEC planner is
applied to a highly constrained domain, and it is shown how the final
plan is created- by adding memory- and situation-selected chunks of su
btask expansion to each subtask, until the problem is reduced to primi
tive (non-expandable) tasks. It is also shown how the use of dynamic m
emory structures and dynamic, user-directed backtracking allows the pl
anner to predict and discover failures, recover from them, and modify
its knowledge according to them. Finally, it is shown how in a domain
of multiple possible solutions for each goal the methodology developed
allows the planner to slowly model itself to the preferences of the u
ser. The paper also discusses some of the application domains where TO
LTEC has been used, including process planning of cylindrical and pris
matic parts, design checking, material selection, and design of commun
ications systems.