Novel task decomposition and aggregation methods for knowledge discovery in multi-agent systems

@inproceedings{Kesidis2013NovelTD,
  title={Novel task decomposition and aggregation methods for knowledge discovery in multi-agent systems},
  author={George Kesidis},
  year={2013}
}
Multi-agent systems allow us to study and co-ordinate autonomous processes or agents for achieving macroscopic system-level goals. Agents are typically characterized by self-organizing behavior with heterogeneity in their individual goals, local information states or hypotheses. This thesis studies two domain specific problems in multi-agent systems: task decomposition and task aggregation. The former deals with suitably tasking the agents to achieve system level goals under the constraint that… CONTINUE READING

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