Study on the CAN Search Model based on BDI Agent
- DOI
- 10.2991/icsste-16.2016.57How to use a DOI?
- Keywords
- Complex Agent Network (CAN); Network Search; Agent Model; BDI Agent
- Abstract
The main purpose of establishing a complex agent network (CAN) search model is to specifically model each type of the relationships between different types of Agent structure domain and make it easier to be implemented in the existing programming language environment. Under the guidance of complex Agent network method, CAN search process was analyzed, a dynamic search model description was established based on CAN search process, and then individual Agent modelling and the memory and processing of the thinking attributes such as beliefs, desires and intentions in CAN search process were mainly introduced from the individual level; all sorts of Agent conceptual models and Agent type descriptions for CAN search model were designed by introducing BDI Agent; the states and behaviors of the Agent involving in CAN search process were clearly defined.
- Copyright
- © 2016, 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 - Ablimit Arxiden PY - 2016/05 DA - 2016/05 TI - Study on the CAN Search Model based on BDI Agent BT - Proceedings of the 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016) PB - Atlantis Press SP - 303 EP - 310 SN - 2352-5398 UR - https://doi.org/10.2991/icsste-16.2016.57 DO - 10.2991/icsste-16.2016.57 ID - Arxiden2016/05 ER -