Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Massively multi-author hybrid artificial intelligence

Mac Fhearaí, Oisín (2014) Massively multi-author hybrid artificial intelligence. PhD thesis, Dublin City University.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
4Mb

Abstract

Biological intelligences often consist of many different, complex systems working together, rather than a single mechanism capable of solving every problem. It may be that artificial intelligence requires a composition of multiple, diverse systems; perhaps more than any one individual or one research group can create or even understand. This dissertation presents an architecture for hosting and efficiently running user-submitted programs (minds) intended to solve particular problems (worlds), and to facilitate the assembly of these problem-solving minds into larger scale systems of hybrid minds which query an existing set of minds (which we call subminds) for their suggested actions. These subminds may be hosted on the same machine or remotely, across the Internet. They may have been written by many different authors, with each program intended either as a complete solution to the problem, or with an eye toward its re-use in a modular fashion. Even if a program is written and intended as a complete, independent solution to the problem, that need not preclude its inclusion in a larger, hierarchical hybrid program. In other words, the architecture presented forms a platform for building hybrid artificial intelligence systems using other people's code. The dissertation also presents and evaluates a method for automatically combining minds (which may have been written by different authors) for use in a hybrid mind, by performing a statistical analysis of the observed performance of each mind program in a collection of minds submitted by third parties competing to solve two different types of problem.

Item Type:Thesis (PhD)
Date of Award:November 2014
Refereed:No
Supervisor(s):Humphreys, Mark and Walshe, Ray
Uncontrolled Keywords:Hybrid articial intelligence systems
Subjects:Computer Science > Artificial intelligence
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology
ID Code:20189
Deposited On:28 Nov 2014 11:41 by Mark Humphrys. Last Modified 20 Apr 2017 12:22

Download statistics

Archive Staff Only: edit this record