Abstract
Artificial intelligence (AI) has been one of top research fields such as biology engineering, space technology, and material engineering, etc. It is a comprehensive discipline developed on the basis of multidisciplinary studies, including computer science and technology, information science and technology, control theory, psychology, physiology, philosophy, mathematics, and linguistics, etc. The key idea of AI is to let machines simulate, extend and expand human’s intelligence by artificial methods and technologies, in order to realize some “machinery thinking,” and endow machines with the ability of simulating human’s mental faculties to solve the complex real problems, e.g.,learning, reasoning, judgment, and decision-making, etc. Accordingly, in the framework of the different levels of human’s mental faculties, three kinds of simulation methodologies have been gradually established, i.e., symbolism which simulates human’s abstract mental faculties, connectionism which simulates human’s visualized mental faculties, and behaviorism which simulates human’s apperception mental faculties [430].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Xu, Y., Qin, K., Ruan, D., Liu, J. (2003). Introduction. In: Lattice-Valued Logic. Studies in Fuzziness and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44847-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-44847-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07279-6
Online ISBN: 978-3-540-44847-1
eBook Packages: Springer Book Archive