Latest recipes tagged "artificial_intelligence" but not "python"

Uno (Text-Based) (Python)

2017-07-15T00:46:59-07:00

Python recipe 580811 by Brandon Martin (artificial_intelligence, cards, game, text_game, uno).

A text based recreation of the classic card game featuring functional AIs to play with. Some rules have been modified. User interface is text based, non-curses, using only simple python commands to draw it.

Hopfield Artificial Neural Network (C++)

2016-07-03T21:58:49-07:00

C++ recipe 580688 by Jay baller (ai, algorithm, algorithms, artificial_intelligence, neural_network).

(Discrete (Binary)) Hopfield Artificial Neural Network (ANN).

For more info see:

http://en.wikipedia.org/wiki/Hopfield_net

http://www.scholarpedia.org/article/Hopfield_network

Priority Queue (with deletion) (Python)

2013-12-08T21:12:55-08:00

Python recipe 578780 by elazar (artificial_intelligence, heap, heapq, priority_queue, queue). Revision 5.

Based on the interface defined in aima-python http://aima-python.googlecode.com/svn/trunk/utils.py

Yields better performance.

State Machine Framework (AI) (Python)

2013-09-12T19:50:06-07:00

Python recipe 578656 by Matt Jones (artificial_intelligence, state_machine).

A simple state machine framework that could be used for AI or long processing operations. A simple example is provided as well.

Python 3.2 required

Artificial Neuroglial Network (ANGN) (Python)

2012-10-02T16:18:36-07:00

Python recipe 578242 by David Adler (artificial_intelligence, genetic_algorithm, genetic_algorithms, neural, neural_networks). Revision 5.

This is an attempt at emulating the algorithm from these scientific articles:

The objective of the program is to train a neural network to classify the four inputs (the dimensions of a flower) into one of three categories (three species of flower), (taken from the Iris Data Set from the UCI Machine Learning Repository). This program has two learning phases: the first is a genetic algorithm (supervised), the second is a neuroglial algorithm (unsupervised). This ANGN is a development of a previous program only consisting of a genetic algorithm which can be found here.

The second phase aims to emulate astrocytic interaction with neurons in the brain. The algorithm is based on two axioms: a) astrocytes are activated by persistent neuronal activity b) astrocytic effects occur over a longer time-scale than neurons. Each neuron has an associated astrocyte which counts the number of times its associated neuron fires (+1 for active -1 for inactive). If the counter reaches its threshold (defined as Athresh) the astrocyte is activated and for the next x iterations (defined as Adur) the astrocyte modifies the incoming weights to that particular neuron. If the counter reached a maximum due to persistent firing the incoming weights are increase by 25% for the proceeding Adur iterations; conversely if the counter reached a minimum due to persistent lack of firing the weights are decreased by 50% for the following Adur iterations). For a detailed description of the algorithm see the linked articles. For a general understanding of how this program was coded look at the pseudo-code/schematic here.

Any comments for improvements are welcome. There are several issues in this program which require addressing, please scroll down below code to read about these issues.

Genetic Algorithm Neural Network in Python Source Code (Python)

2012-08-16T16:31:12-07:00

Python recipe 578241 by David Adler (artificial_intelligence, neural, neural_network).

A simple genetic algorithm neural network.

Hopfield Artificial Neural Network (C++)

2010-11-14T06:32:53-08:00

C++ recipe 577461 by FB36 (ai, algorithm, algorithms, artificial_intelligence, neural_network). Revision 2.

(Discrete (Binary)) Hopfield Artificial Neural Network (ANN).

For more info see:

http://en.wikipedia.org/wiki/Hopfield_net

http://www.scholarpedia.org/article/Hopfield_network