---
title: "The Use of Meta-level Information in Learning Situation-Specific Coordination"
authors:
  - "M. V. Nagendra Prasad"
  - "Victor R. Lesser"
doi: ""
url: "https://ijcai.org/proceedings/1997/94"
pdf: "https://ijcai.org/proceedings/1997/0094.pdf"
venue: "Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence"
year: 1997
pages: "640-645"
track: "Distributed Artificial Intelligence"
keywords:
---

# The Use of Meta-level Information in Learning Situation-Specific Coordination

M. V. Nagendra Prasad, Victor R. Lesser

*Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence*, pages 640-645.

## Abstract

Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reasons such as limited and possibly out-dated views of activities of other agents and uncertainty about the outcomes of interacting non-local tasks. In this paper, we present a learning algorithm that endows agents with the capability to choose the appropriate coordination algorithm from a set of available coordination algorithms based on meta-level information about their problem solving situations. We present empirical results that strongly indicate the effectiveness of the learning algorithm.