Paper Info
Title
Cooperative Problem Solving Process Based on MAS_NP Model
Abstract
In order to enable the individual agents to be aware of the both macro constraints from agent social and instructions from agent's owner, a norm and policy extended agent BDI model (called NPCD-Agent) has been proposed, by integrating norms and policies into traditional agent BDI model. On the basis of NPCD-Agent model, this paper proposes a semantic model of Multi-agent system (called MASNP), where cooperative problem solving (CPS) process is formally described. On the one hand, at the social level, the social constraint of agents can be specified by means of norms defined by the social administrators. And on the other hand, agents are instructed by polices presented by their owners. A case study shows that macro social constraint and instruction from agent's owner are both considered in CPS process, which makes the CPS process more reasonable.
Year
DOI
Venue
2008
10.1109/EUC.2008.109
EUC (2)
Keywords
Field
DocType
multiagent systems,semantic model,multi agent systems,cognition,norm,computational modeling,computer science,multi agent system
Cooperative problem solving,Multi agent model,Computer science,Norm (social),Multi-agent system,Artificial intelligence,Cognition,Macro,Semantic data model
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
7
Name
Order
Citations
PageRank
Yanbin Peng112.72
Beishui Liao211018.07
Ji Gao3198.29
Jun Hu4113.08
CunHao Wang540.81
Jieqing Ai611.70
Hang Guo7498.82