Research Interests

Research Interests

Spiking Neural Networks

Among many interests I have a particular interest in  Artificial Intelligence.  My MSc dissertation was in this field on the subject of Spiking Neural Networks.

Spiking Neural Networks (SNN) are relatively new types of networks, similar in most respects to traditional neural networks, which can be found in many commercial applications, such as Stock Market prediction, hand writing recognition and speech recognition. 

  • 1962 The first generation of neural networks, known as perceptions.
  • 1986 The second generation of neural networks, known as multi-layer perceptions.
  • Now The third generation of neural networks, still being researched are known as spiking neural networks.

SNNs are expected to perform far better on temporally encoded data (e.g. sound) than traditional networks (2nd generation).

Dissertation link: Back-Propagation in spiking neural networks.

True AI in a Computer Game

Computer Game

I am designing an AI api for computer games, primarily this would be to generate revenue for further AI research and to generate the revenue to design an AI accelerator add on card for home computers. Like a 3d accelerator card for graphics this would accelerate computer game AI - more intelligent badies = more challenge = more fun.

As a side development I will design a game to demo the new AI api. The game will be a highly modular system (allowing user development of add ons / levels) run over a network (probably the internet) from a central server. The game system will be a massive multiplayer user dungeon incorporating highly advanced artificial intelligences to interact with as well as other players. The insiders challenge will be to spot who is real and who is fictional.

If anyone is interested in helping me develop these ideas let me know, particularly if you want to employ me to develop them.

News

News

January 2003 New Discussion forum for AI Other forums can be found here also

November 2002 Awarded MSc in computer Science, with Distinction. Graduated top of the year with an average of 80%

September 2002 Completed dissertation: Back-Propagation in spiking neural networks. (Mark: 83%)

Copyright

copyright

The ideas, designs, content and all other material in this website are copyright.  Simon Moore exerts his right to be identified as the author of this work.

Last Update: January 2003

Contact Details:

simon.moore@ndirect.co.uk


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