Tag Archives: Artificial Intelligence
Counteractive Rule Sets
I’ve been working on an artificial intelligence system of late which has proved rather insightful into the workings of various rule systems. Of particular note I began to realise the simplicity that can programmed when you begin to use counteractive … Continue reading
Genetic Algorithms: Harnessing Environmental Selection
I have been considering a problem that was posed to myself a few weeks back. A programmer wants to create a program that attempts to replicate a painted image using a genetic algorithm. For example, a tree. As he builds … Continue reading
Operations on Fuzzy Sets
I must admit, I was a rather bit confused by one of the diagrams that I came across in my readings. This diagram was intended to demonstrate the Complement of a Fuzzy set (Figure 4.7, pg. 101, Negnevitsky) As Negnevitsky … Continue reading
Looking at Certainty Factors
I’ve been taking some time to read through Michael Negnevitsky’s Artificial Intelligence – A Guide to Intelligent Systems (2nd Edition) and I must say, I was quite surprised at his presentation of certainty factors in Expert Systems. The surprise came … Continue reading
A Cellular approach to Intelligent Systems
I was driving to work this morning and was thinking about how one would go about designing an intelligent system and about the weaknesses that are inherent in an expert system. As I was pondering the concept, it dawned on … Continue reading
Posted in Information Technology
Tagged Artificial Intelligence, Cellular, Expert System, Intelligent, Intelligent Systems, Systems
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