CABots and other neural agents

Article


Huyck, C. and Mitchell, I. 2018. CABots and other neural agents. Frontiers in Neurorobotics. 12, pp. 1-12. https://doi.org/10.3389/fnbot.2018.00079
TypeArticle
TitleCABots and other neural agents
AuthorsHuyck, C. and Mitchell, I.
Abstract

The best way to develop a Turing test passing AI is to follow the human model: an embodied agent that functions over a wide range of domains, is a human cognitive model, follows human neural functioning and learns. These properties will endow the agent with the deep semantics required to pass the test. An embodied agent functioning over a wide range of domains is needed to be exposed to and learn the semantics of those domains. Following human cognitive and neural functioning simplifies the search for sufficiently sophisticated mechanisms by reusing mechanisms that are already known to be sufficient. This is a difficult task, but initial steps have been taken, including the development of CABots, neural agents embodied in virtual environments. Several different CABots run in response to natural language commands, performing a cognitive mapping task. These initial agents are quite some distance from passing the test, and to develop an agent that passes will require broad collaboration. Several next steps are proposed, and these could be integrated using, for instance, the Platforms from the Human Brain Project as a foundation for this collaboration.

Research GroupArtificial Intelligence group
PublisherFrontiers Media
JournalFrontiers in Neurorobotics
ISSN1662-5218
Publication dates
Print26 Nov 2018
Publication process dates
Deposited27 Nov 2018
Submitted05 Mar 2018
Accepted08 Nov 2018
Output statusPublished
Publisher's version
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Open
Copyright Statement

Copyright © 2018 Huyck and Mitchell. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Digital Object Identifier (DOI)https://doi.org/10.3389/fnbot.2018.00079
LanguageEnglish
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