Combined computational systems biology and computational neuroscience approaches help develop of future “cognitive developmental robotics”

Faramarz Faghihi; Ahmed A. Moustafa

doi:10.3389/fnbot.2017.00063

Combined computational systems biology and computational neuroscience approaches help develop of future “cognitive developmental robotics”

Faramarz Faghihi, Ahmed A. Moustafa

Western Sydney University

Research output: Contribution to journal › Article › peer-review

Abstract

Understanding cognitive functions and mechanisms of development in animals is essential for the future generation of more intelligent systems (Hirel et al., 2011; Hassabis et al., 2017). In traditional robotics the robots perform predefined tasks in a fixed environment. However, the field of modern robotics is seeking approaches to develop artificial systems to execute tasks in less predefined dynamic environments. Such robotic systems should learn from information extracted from the environment to demonstrate actions like natural intelligence (Mataric, 1998). However, such capabilities cannot be achieved sufficiently with classical control approaches (Christaller, 1999; Hassabis et al., 2017).

Original language	English
Article number	63
Number of pages	5
Journal	Frontiers in Neurorobotics
Volume	11
DOIs	https://doi.org/10.3389/fnbot.2017.00063
Publication status	Published - 2017

Open Access - Access Right Statement

Copyright © 2017 Faghihi and Moustafa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor 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

Keywords

artificial intelligence
robotics

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10.3389/fnbot.2017.00063

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abstract = "Understanding cognitive functions and mechanisms of development in animals is essential for the future generation of more intelligent systems (Hirel et al., 2011; Hassabis et al., 2017). In traditional robotics the robots perform predefined tasks in a fixed environment. However, the field of modern robotics is seeking approaches to develop artificial systems to execute tasks in less predefined dynamic environments. Such robotic systems should learn from information extracted from the environment to demonstrate actions like natural intelligence (Mataric, 1998). However, such capabilities cannot be achieved sufficiently with classical control approaches (Christaller, 1999; Hassabis et al., 2017).",

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KW - artificial intelligence

KW - robotics

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:44043

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Combined computational systems biology and computational neuroscience approaches help develop of future “cognitive developmental robotics”

Abstract

Open Access - Access Right Statement

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