Computational Intelligence
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Decision Trees v.4.3.8
Create decision trees to help you with your work. Learning is the capability to improve one's behaviour based on experience and represents an essential element of computational intelligence.
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Graph Searching v.4.5.0
Search is an important part of AI; many problems can be cast as the problem of finding a path in a graph. Graph Searching is a graph-searching tool, it is designed to help you learn about different search strategies.
MASSim-FlashServer v.3
The FlashServer is a part of the MASSim project of the Computational Intelligence Group at the TU Clausthal, Germany and his main task is the visualization of the games as Flash videos.
NetSafeGuard v.2 6
NetSafeGuard may be installed and operated without disrupting currently installed anti virus software. Use it as a fully integrated stand alone software suite, or to provide added antivirus scan protection with your existing security software.
Robot Control v.4.6.0
Robot simulation to help you with your studies. A robot is an intelligent agent that perceives, reasons, and acts in time in an environment. It acts to achieve its assigned goals and at the same time avoids getting into undesired states.
Stochastic Local Search Based CSP Solver v.4.6.0
Stochastic Local Search Based CSP Solver use stochastic local search algorithms to solve constraint satisfaction problems. Constraint satisfaction problems (CSPs) are pervasive in AI problems.
Spice-SOM v.2.0
SPICE-SOM is a Self-Organizing Map Application. SPICE-MLP (the old name is SpiceNeuro or Neural Network Example - NNE) is a small software of Three-Layer Neural Network (NN) with multi-inputs and outputs,
Belief and Decision Networks v.5.1.9
View and solve Bayesian Nets fast and easy. Bayesian Belief and Decision Networks help you solve Bayesian Nets. It has a robust variable elimination algorithm,
Neural Networks v.4.3.7
Create neural networks fast and easy. Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples,
Consistency Based CSP Solver v.4.6.1
Consistency Based CSP Solver create and solve constraint satisfaction problem. Constraint satisfaction problems (CSPs) are pervasive in AI problems.
Definite Clause Deduction v.4.2.8
Analyze deduction algorithms. Definite Clause Deduction demonstrate various deduction algorithms, from the SLD resolution used by Prolog to the user manually unifying clauses.