Achieving Agent Coordination via Distributed Preferences
Abstract
Agent-based systems provide hope for solving a wide variety of distributed problems. One key aspect of agent-based system is coordinating agent actions to achieve coherent behavior. For example, in concurrent engineering (CE), it is necessary to ensure that the individual decision made by constituents in a design organization achieve overall organizational objectives (e.g., increase market share), while still allowing individuals to exploit their expertise. We believe CE is representative of many multi-agent problems, in that agent coordination must include facilities to support both solving a hierarchically decomposed problem, e.g., the contract net, and interactions among peers as well.
Cite
Text
D'Ambrosio and Birmingham. "Achieving Agent Coordination via Distributed Preferences." AAAI Conference on Artificial Intelligence, 1996.Markdown
[D'Ambrosio and Birmingham. "Achieving Agent Coordination via Distributed Preferences." AAAI Conference on Artificial Intelligence, 1996.](https://mlanthology.org/aaai/1996/daposambrosio1996aaai-achieving/)BibTeX
@inproceedings{daposambrosio1996aaai-achieving,
title = {{Achieving Agent Coordination via Distributed Preferences}},
author = {D'Ambrosio, Joseph G. and Birmingham, William P.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1996},
pages = {1383},
url = {https://mlanthology.org/aaai/1996/daposambrosio1996aaai-achieving/}
}