Parsing with CAs Home Page

The EPSRC has funded a project to develop an agent that communicates via natural language, senses the environment, and assists the user. This agent is based on fatiguing Leaky Integrate and Fire neurons extending our work on Cell Assemblies (CAs).

The project has a significant engineering component. It is based around three main milestones, each an evolution on the prior:

1. Build a Natural Language (NL) Parser based on CAs.
2. Build a vision system based on CAs, and integrate this system with the Language system.
3. Build an agent for a 3D game that assists a user, receives NL input, senses the environment, and has its own goaling mechanism.

The project members include

• Chris Huyck Principle Investigator
• Roman Belavkin Co-Investigator
• Dan Diaper recognised researcher
• Emma Byrne is the Research Fellow on the project.
• Peter Passmore is fully involved.
• Fawad Jamshed is the PhD student on the project.
• Kailash Nadh is the PhD student on the project.
• Dr. Pieter H. deVries is an external collaborator.

The project proposal as submitted to EPSRC is here in pdf, here in ps, and here in tex. The current project plan is here in MS Project.

Various issues have pages associated with them.

• Visual Processing
• Talks from the project
• Papers from the project
• Conferences related to the CABot Project
• Games and Game Engines
• CANT and CABot code

Chris Huyck is the principal investigator on this project. The project is based on Chris' earlier work on fatiguing Leaky integrate and Fire neurons and Cell Assemblies. Here are some links to an introduction to Cell Assemblies, and some papers, talks, and other related things .