Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)

Research on the Simulation Models of Knowledge Emergence Based on CAS Theory

Authors
Fu Jin, Li-Jun Zou, Jie Jin, Xia Wang
Corresponding Author
Fu Jin
Available Online October 2017.
DOI
10.2991/mse-17.2017.59How to use a DOI?
Keywords
knowledge emergence; simulation modeling; CAS theory
Abstract

This paper firstly gives the definition of knowledge emergence. Afterwards, based on CAS theory, this paper studies the microcosmic model of multi-Agent and its logic construction of simulation system of macro-level knowledge emergence. This paper reveals evolution rules between the microscopic and macroscopic systems of the knowledge system taking time as a parameter, and gives the applicable conditions of knowledge emergence with CAS simulation methods.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-394-4
ISSN
2352-5428
DOI
10.2991/mse-17.2017.59How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fu Jin
AU  - Li-Jun Zou
AU  - Jie Jin
AU  - Xia Wang
PY  - 2017/10
DA  - 2017/10
TI  - Research on the Simulation Models of Knowledge Emergence Based on CAS Theory
BT  - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
PB  - Atlantis Press
SP  - 257
EP  - 261
SN  - 2352-5428
UR  - https://doi.org/10.2991/mse-17.2017.59
DO  - 10.2991/mse-17.2017.59
ID  - Jin2017/10
ER  -