A system for epigenetic concept development through autonomous associative learning

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 sens...

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Vydáno v:2007 IEEE 6th International Conference on Development and Learning s. 175 - 180
Hlavní autoři: Grabowski, L.M., Luciw, M.D., Juyang Weng
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2007
Témata:
Autonomous agents
Cognition
Cognitive science
Computer science
concept learning
developmental mental architectures
emergent cognition
Humans
internal attention
Mobile agents
Neuroscience
Packaging
Psychology
Sensor systems
sensorimotor pathways
ISBN:9781424411153, 1424411157
ISSN:2161-9476
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Shrnutí: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.
ISBN:9781424411153
1424411157
ISSN:2161-9476
DOI:10.1109/DEVLRN.2007.4354066