My primary research interests are concentrated in the areas of bioinformatics, data mining, and parallel processing, and from time-to-time I look at various problems in the areas of information retrieval, collaborative filtering, and electronic design aut
Bow (or libbow) is a library of C code useful for writing statistical text analysis, language modeling and information retrieval programs. The current distribution includes the library, as well as front-ends for document classification (rainbow), document
The NetAnalyzer Project drives open source development of interactive control, debugging, analysis, and visualization tools for Hierarchical Temporal Memory (HTM).
This relates to the recent Slashdot-posted paper about the world being a VR. If indeed human mind is non-computable, the world can't be VR. Cf. On Intelligence.
In analyzing my data I wanted to classify it with a naive Bayesian classifier. I wasn't sure I had the math right, so I wrote a tiny abstract classifier to test with. The code is pretty cool:
If you are starting with Neural Networks you should check out my online book on the subject. It contains over 300 pages of information on Neural Network Programming in Java. You can access it here.
This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran's book "Programming Collective Intelligence." The book has python implementations; this is a Java implementation.
AI Related Ruby Extensions This page will maintain list of AI related extensions/modules/gems for the Ruby programming language. Please contact me if you know something I missed.
Emergent (a major rewrite of PDP++) is a comprehensive simulation environment for creating complex, sophisticated models of the brain and cognitive processes using neural network models.
This book is about beliefs---how we get them and how we evaluate them. It takes the form of a fictional conversation makes the following points: 1) in analogy with robots, we humans know by the models we make of reality, 2) these models are always provisional and sometimes unreliable, 3) it is especially important to examine thoroughly those models upon which we base actions, and 4) the scientific method provides an excellent guide for such examination. The level of exposition is neither technical nor deeply philosophical
A single ant or bee isn't smart, but their colonies are. The study of swarm intelligence is providing insights that can help humans manage complex systems, from truck routing to military robots.
Memetic Algorithms is a population-based approach for heuristic search in optimization problems. They have shown that they are orders of magnitude faster than traditional Genetic Algorithms for some problem domains.
Department of Mathematical Sciences San Diego State University, Vernor Vinge - Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended.
a comprehensive system for designing realistic NPC AI for persistant worlds. It uses a meme metaphor to rationalize the "hows and whys" of NPC life. The Memetic AI Toolkit provides an artificial life designer with a host of tools, documentation, example c
R. Aler, D. Borrajo, and P. Isasi. Proceedings of the 2001 Congress on Evolutionary
Computation CEC2001, page 1220--1227. COEX, World Trade Center, 159 Samseong-dong,
Gangnam-gu, Seoul, Korea, IEEE Press, (27-30 May 2001)
S. Amizadeh, H. Palangi, A. Polozov, Y. Huang, and K. Koishida. Proceedings of the 37th International Conference on Machine Learning, volume 119 of Proceedings of Machine Learning Research, page 279--290. PMLR, (13--18 Jul 2020)