---
title: "Deriving Multi-Agent Coordination through Filtering Strategies"
authors:
  - "Eithan Ephrati"
  - "Martha E. Pollack"
  - "Sigalit Ur"
doi: ""
url: "https://ijcai.org/proceedings/1995/89"
pdf: "https://ijcai.org/proceedings/1995/0089.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "679-686"
track: "Distributed AI"
keywords:
---

# Deriving Multi-Agent Coordination through Filtering Strategies

Eithan Ephrati, Martha E. Pollack, Sigalit Ur

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, pages 679-686.

## Abstract

We examine an approach to multi-agent coordination that builds on earlier work on enabling single agents to control their reasoning in dynamic environments. Specifically, we study a generalization of the filtering strategy. Where single-agent filtering means tending to bypass options that are incompatible with an agent's own goals, multi-agent filtering means tending to bypass options that are incompatible with other agents' known or presumed goals. We examine several versions of multi-agent filtering, which range from purely implicit to minimally explicit, and discuss the trade -offs among these. We also describe a series of experiments that demonstrate initial results about the feasibility of using multi-agent filtering to achieve coordination without explicit negotiation.