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AOIS
2004
15 years 8 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
AISADM
2005
Springer
16 years 3 days ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...
ATAL
2009
Springer
15 years 7 months ago
Towards an Architecture for Self-regulating Agents: A Case Study in International Trade
Abstract--Norm-enforcement models applied in human societies may serve as an inspiration for the design of multi-agent systems. Models for norm-enforcement in multi-agent systems o...
Brigitte Burgemeestre, Joris Hulstijn, Yao-Hua Tan
AGENTS
2001
Springer
15 years 11 months ago
Improving the agent-oriented modeling process by roles
The agent-oriented modeling process is divided in a typical sequence of activities, i.e., requirements specification, analysis, and design. The requirements are specified by des...
Ralph Depke, Reiko Heckel, Jochen Malte Küste...
IJAOSE
2008
83views more  IJAOSE 2008»
15 years 6 months ago
PASSIM: a simulation-based process for the development of multi-agent systems
: This paper presents the Process for Agent Specification, Simulation and Implementation (PASSIM), a simulation-based development process for Multi-agent Systems (MASs), which was ...
Massimo Cossentino, Giancarlo Fortino, Alfredo Gar...