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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...
...This is an implementation of Wumpus World (a Knowledgebase agent game) using csharp alongside prolog with a GUI.
C# has the main environment of the game and the GUI
The GUI was created using WPF , Windows Presentation Foundation
Prolog is used as the knowledgebase of the agent of Wumpus World
In order for C# to communicate with Prolog a Csharp interface is used SWI-Prolog.
Author: Abdulrahman Zakrt
Date: Jan.02, 2018
Requirements
This implementation of Wumpus World uses prolog and is based on Dotnet and requires the following:
64 bit windowsmachine , Currently the game only supports 64 bit machines
SWIPL(v6.6.6) 64 bit (Installed automatically by the game if not available)
Latest Version of DotNet (Installed automatically by windows)
How to Use
In order to use the GUI only you can use the setup.exe in the SetupFiles.
Aims to enable researcher to tap in to mobile computing capability
This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources
A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to...
A platform for rapid Reinforcement Learning methods development
Application allowing convenient experimentation in Reinforcement Learning - a Machine Learning domain. Project goals are:
- keep adding new environments and agents as simple as possible
- provide a rich set of state-of-art algorithms and problems
- integrate with other existing Reinforcement Learning platforms
If you found this application useful please cite this work: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6643987
Full ring Texas Hold'em poker game built around an intelligent AI system. The AI uses players' betting actions to calculate a probability distribution of their hole cards and uses it to evaluate hand strength and the best possible action. Small random changes are made to mimic human behavior and make the AI less predictable. Future versions will include adaptive opponent modeling using neural networks to improve the AI's strength. The AI code can be easily adapted for input from screen scrapers.
Platform supporting machine learning on different objects by different modification of the JSM method (for now). Predicates for the JSM method are written in CLIPS.Objects and modification of the JSM method have to written on one of .NET languages.
EveAI processes the data assuming that it has already been read by a sensor.
Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.
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