DocumentCode
1862401
Title
A system for epigenetic concept development through autonomous associative learning
Author
Grabowski, Laura M. ; Luciw, Matthew D. ; Weng, Juyang
Author_Institution
Michigan Stale Univ., East Lansing
fYear
2007
fDate
11-13 July 2007
Firstpage
175
Lastpage
180
Abstract
In early development, an autonomous agent must learn to understand its sensors. This is thought to be done via exploratory movements. These result in low-level understanding by exploring sensorimotor associations. This paper is concerned with the further development of internal sensors that can sense and convey a concept. A concept is an abstract and compact representation of information from multiple sources. This paper introduces a system for the development of concepts, with the key features of associative learning, internal attention pathways, and exploratory movements. It is shown, within a mobile agent in a simulation environment, to develop an internal sensor that measures the semi-concrete concept of distance traveled. Distance is shown to be understood correctly when the agent is moved, either passively or actively, in different environments and at a set of movement speeds. This system is general, and can be used to develop other concepts for other types of agents.
Keywords
cognitive systems; digital simulation; learning (artificial intelligence); mobile agents; multi-agent systems; autonomous agent learning; autonomous associative learning; cognitive system; epigenetic concept development system; internal attention pathway; mobile agent; sensorimotor association; simulation environment; Autonomous agents; Cognition; Cognitive science; Computer science; Humans; Mobile agents; Neuroscience; Packaging; Psychology; Sensor systems; concept learning; developmental mental architectures; emergent cognition; internal attention; sensorimotor pathways;
fLanguage
English
Publisher
ieee
Conference_Titel
Development and Learning, 2007. ICDL 2007. IEEE 6th International Conference on
Conference_Location
London
Print_ISBN
978-1-4244-1116-0
Electronic_ISBN
978-1-4244-1116-0
Type
conf
DOI
10.1109/DEVLRN.2007.4354066
Filename
4354066
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