Search Results for "algorithm"

Conversation as a platform (CaaP) is the future, so it's perfect that we're already offering the whole toolkits to our .NET developers using the BotSharp AI BOT Platform Builder to build a CaaP. It opens up as much learning power as possible for your own robots and precisely control every step of the AI processing pipeline. BotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio...

...It contains a player (Pregor) controlled by the user and an NPC (Dorban) controlled by the Svarog interpreter. The objective is to kill the vampire. Or at least to attack him with the optimal chances. The Svarog AI library contains a new optimization algorithm based on so called hidden variables. In order to achieve the objective Dorban will try to convince Pregor to accompany him, and together they will try to find the vampire in a graph with 5 city nodes. When accompanying Dorban use menu item "follow orders" to follow his orders.

...Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements a version of the A3C (Asynchronous Advantage Actor-Critic) algorithm, adapted for the specific challenges of Universe environments (e.g., network latency, VNC streaming, asynchronous observations). The repo includes modules like train.py, worker.py, model.py, a3c.py, and envs.py to support training, parallel worker management, policy/critics, and environment wrappers.

nunn is a collection of ML algorithms and related examples written in modern C++17.

GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).

This project is about implementing a logic-programming based, reasoning engine for an agent. We started with an implementation of the iff-proof procedures, by Kowalski and Fung, as an any-time algorithm written in Prolog.

...Difference is, this program is intelligent and it accepts your input data and then predicts keywords based on your likes or dislikes. As the main engine, it uses the SMOReg algorithm to analyze and map the keyword frequencies of your data. This can be a great SEO tool to help increase the traffic of any website featuring a product.

An easy-to-implement library that can assist Java developers in using the GeoHash algorithm in order to create geocodes based on custom latitude and longitude values. With the help of jGeohash, software developers will be able to quickly and easily generate a geohash code using user-defined latitude and longitude values. By using the GeoHash algorithm, the space can be divided into multiple grid shapes. This library is a basic implementation from the GeoHash algorithm written in the java can be applied to generate from the latitude and longitude a geohash code and reverse. ...

The MaxParser is written in c++ and can parse with first, second, third and fourth order projective Graph-based Dependency parsing algorithm. The project is the new version of the project "Max-MSTParser". If you want to use this software for research, please reference this web address in your papers

This project contains the files required to run the Cross-Entropy Relational Reinforcement Learning Agent (CERRLA) algorithm. Note that a copy of the JESS rules engine will also be required.

This is a GUI, Java implementation of the Ant Colony Optimisation/Particle Swarm Optimisation (PSO/ACO2) rule induction algorithm. This project was inspired by Ant-Miner, but handles continuous attributes using PSO or now Differential Evolution.

...First, I made a chatterbot to understand the concept of "predicting" the next sentence (worked as good as the Cleverbot), then I made this program that is aided by an user to compose the new writings. SAMPLE: Input sentence was "Learning algorithm" The prefix was "transductive learning" Learning algorithm. Transduction, or transductive inference, tries to predict new outputs on specific and fixed (test) cases from observed, specific (training) cases. The simplest realization for transductive inference is the method of k-nearest neighbors. Learning to learn learns its own inductive bias based on previous experience. ...AND SO ON.... ...

Implementation of Artificial Inteligence algorithms in python: - Ant Colony Optimization - Greed Algorithm

POGA - Parameter's Optimization by Genetic Algorithm - Developed by Leonardo Santos (LAC-INPE :: santoslbl@gmail.com) and José Miranda (IF-UFBA :: vivas@ufba.br). 114 Downloads of the first version. Second version avaliable.

This project has been renamed to oooark. Old file releases will still be available here. uvsim is a project focused on enabling algorithm development for unmanned systems. It is being constructed to provide an identical interface to simulations and h

This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.

The implementation of Bee Hive @ Work algorithm that simulates the foraging behavior of honey bees in nature. The aim is to provide an extensible framework that can be used by researchers to simply create new applications of this algorithm.

Argorha Pathfinding is an algorithm which permit you to find your way into a polygon soup ( 3D world ) efficently by precalculating a system of sectors and portals. AStar included. Demo in Download section, code on SVN.

ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.

Springbots is a python application which takes a set of 2d physical structures built with nodes and movable springs and evolve them for specific tasks like walking, swimming and jumping using genetic algorithm.

LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.

TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).

RL HNFP is a neuro Fuzzy model which can automatic generate set of rule. So it can implement in domain although human don't have knowledge on it. This project implement that algorithm in Java so other people can use that for their application

This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.

In imitative learning, an agent will attempt to match what is observed to their memory. By visualizing the incorrectly matches "scenes", this project will allow algorithm developers to gain a better understanding of what causes their algorithms to fail.