Study on Forward Chaining and Reverse Chaining in Expert System
نویسندگان
چکیده
منابع مشابه
Making Forward Chaining Relevant
Planning by forward chaining through the world space has long been dismissed as being “obviously” infeasible. Nevertheless, this approach to planning has many advantages. Most importantly forward chaining planners maintain complete descriptions of the intermediate states that arise during the course of the plan’s execution. These states can be utilized to provide highly effective search control...
متن کاملForward-Chaining Partial-Order Planning
Over the last few years there has been a revival of interest in the idea of least-commitment planning with a number of researchers returning to the partial-order planning approaches of UCPOP and VHPOP. In this paper we explore the potential of a forward-chaining state-based search strategy to support partial-order planning in the solution of temporal-numeric problems. Our planner, POPF, is buil...
متن کاملExpert System of Chili Plant Disease Diagnosis using Forward Chaining Method on Android
This research was conducted to make an expert system that is able to diagnose disease in chili plants based on knowledge that provided directly from the experts. This research uses classical probability calculation method in calculating the percentage of diagnoses and implemented on the Android mobile device. This research consisted of 37 symptoms data, 10 data of chili disease caused by fungi,...
متن کاملRuntime Verification Through Forward Chaining
In this paper we present a novel rule-based approach for Runtime Verification of FLTL properties over finite but expanding traces. Our system exploits Horn clauses in implication form and relies on a forward chaining-based monitoring algorithm. This approach avoids the branching structure and exponential complexity typical of tableaux-based formulations, creating monitors with a single state an...
متن کاملHeuristics and metaheuristics in forward-chaining planning
Forward-chaining heuristic search is a well-established and popular paradigm for planning. It is, however, characterised by two key weaknesses. First, search is guided by a domain-independent heuristic which although applicable in a wide range of domains, can often give poor guidance. Second, the metaheuristics used to control forward-chaining planning are often weak, using simple local-search ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Engineering Research and Science
سال: 2016
ISSN: 2349-6495,2456-1908
DOI: 10.22161/ijaers/3.12.12