Category Archives: Artificial Intelligence
Happy New Year
Well, it's been a while since I've posted last. I have been rather busy for a variety of reasons (research, work, wedding) So I thought it was about time that I posted an update to the blog summarising the research … Continue reading
Objectified 3D Fuzzy Sets
I thought I would continue my thoughts on 3 Dimensional Fuzzy Sets, One of the problems that the model presented in my last blog post faces, as it was presented to me by Robert Cox this morning, is that the … Continue reading
Dimensions of Fuzzy Sets
I was sitting at my desk today, and it hit me, why must our fuzzy sets be 2D? Whilst it is less complex to rely on a 2D fuzzy set, the limitations of such sets are fairly big. For example, … Continue reading
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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