Expert System for Diagnosing Cataract Using Forward Chaining Method

Expert 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,...

Fuzzy expert system for diagnosing diabetic neuropathy

AIM To design a fuzzy expert system to help detect and diagnose the severity of diabetic neuropathy. METHODS The research was completed in 2014 and consisted of two main phases. In the first phase, the diagnostic parameters were determined based on the literature review and by investigating specialists' perspectives (n = 8). In the second phase, 244 medical records related to the patients who...

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...

Planning for Loosely Coupled Agents Using Partial Order Forward-Chaining

We investigate a hybrid between temporal partial-order and forward-chaining planning where each action in a partially ordered plan is associated with a partially defined state. The focus is on centralized planning for multi-agent domains and on loose commitment to the precedence between actions belonging to distinct agents, leading to execution schedules that are flexible where it matters the m...

Forward Chaining for Robot and Agent Navigation using Potential Fields