Forward and Backward Chaining Techniques of Reasoning in Rule-Based Systems
Bu tez size mi ait?
Bu kayıt toplu arşivden geldi. Sizinse profilinize bağlayın.
Özet (EN)
The forward and backward chaining techniques are well-known reasoning concepts used in rule-based systems in Artificial Intelligence. The forward chaining is data-driven, and the backward chaining is goal-driven reasoning methods. The aim of this thesis is to present the implementation of above concepts. The matching process between facts and rules, and the conflict resolution strategy in forward chaining are used. The depth-first search in both forward and backward chaining is performed. The backtracking process in backward chaining employs the Prolog programming language which is also discussed in this thesis. Some examples for better understanding the forward and backward chaining techniques are provided.
Yazar
Bareen Haval Sadiq Mzori
Bu Yayına Nasıl Atıf Yapılır
Bareen Haval Sadiq Mzori (Master Thesis). Forward and Backward Chaining Techniques of Reasoning in Rule-Based Systems, 2015, Eastern Mediterranean University, Department of Mathematics.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
Eastern Mediterranean University tezlerinden daha fazlası
- Predicting performance level of reinforced concrete structures subject to corrosion as a function of time(2012)
- An Investigation on Time and Cost Overrun in Construction Projects(2012)
- Radial Power-Law Position-dependent Mass, Cylindrical Coordinates, Spectral Signatures(2015)
- Approaching a Successful Interior Design Atmosphere for Retail Clothing Stores Case of Dereboyu Street, Lefkoşa(2017)
- Disappointment and Dystopic Fear in Franz Kafka’s The Trial(2017)
- The Effects of Video Games on Reaction Times(2019)