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...
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...
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
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...
: This paper presents the Process for Agent Specification, Simulation and Implementation (PASSIM), a simulation-based development process for Multi-agent Systems (MASs), which was ...