TY - GEN
T1 - Language learning for the autonomous mental development of conversational agents
AU - Hong, Jin Hyuk
AU - Lim, Sungsoo
AU - Cho, Sung Bae
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - Since the manual construction of our knowledge-base has several crucial limitations when applied to intelligent systems, mental development has been investigated in recent years. Autonomous mental development is a new paradigm for developing autonomous machines, which are adaptive and flexible to the environment. Language development, a kind of mental development, is an important aspect of intelligent conversational agents. In this paper, we propose an intelligent conversational agent and its language development mechanism by putting together five promising techniques; Bayesian networks, pattern matching, finite state machines, templates, and genetic programming. Knowledge acquisition implemented by finite state machines and templates, and language learning by genetic programming are developed for language development. Several illustrations and usability tests show the usefulness of the proposed developmental conversational agent.
AB - Since the manual construction of our knowledge-base has several crucial limitations when applied to intelligent systems, mental development has been investigated in recent years. Autonomous mental development is a new paradigm for developing autonomous machines, which are adaptive and flexible to the environment. Language development, a kind of mental development, is an important aspect of intelligent conversational agents. In this paper, we propose an intelligent conversational agent and its language development mechanism by putting together five promising techniques; Bayesian networks, pattern matching, finite state machines, templates, and genetic programming. Knowledge acquisition implemented by finite state machines and templates, and language learning by genetic programming are developed for language development. Several illustrations and usability tests show the usefulness of the proposed developmental conversational agent.
UR - http://www.scopus.com/inward/record.url?scp=33750697584&partnerID=8YFLogxK
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U2 - 10.1007/11893295_98
DO - 10.1007/11893295_98
M3 - Conference contribution
AN - SCOPUS:33750697584
SN - 3540464840
SN - 9783540464846
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 892
EP - 899
BT - Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings
PB - Springer Verlag
T2 - 13th International Conference on Neural Information Processing, ICONIP 2006
Y2 - 3 October 2006 through 6 October 2006
ER -