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
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;
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
DOI :
10.1109/DEVLRN.2007.4354066