Orpheus: Engineering Multiagent Systems via Communicating Agents

We propose Orpheus, a novel programming model for communicating agents based on information protocols and realized using cognitive programming. Whereas traditional models are focused on reactions to handle incoming messages, Orpheus supports organizing the internal logic of an agent based on its goals. We give an operational semantics for Orpheus and implement this semantics in an adapter to help build agents. We use the adapter to demonstrate how Orpheus simplifies the programming of decentralized multiagent systems compared to the reactive programming model.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i22.34478
Citations
4
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
3.55

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article

Orpheus: Engineering Multiagent Systems via Communicating Agents

Munindar P. Singh, Samuel H. Christie, Matteo Baldoni, Amit K. Chopra
4 citations
Proceedings of the AAAI Conference on Artificial Intelligence
Multi-Agent Systems and Negotiation
3.55
article

Orpheus: Engineering Multiagent Systems via Communicating Agents

Munindar P. Singh, Samuel H. Christie, Matteo Baldoni, Amit K. Chopra
article en
4 citations

Abstract

We propose Orpheus, a novel programming model for communicating agents based on information protocols and realized using cognitive programming. Whereas traditional models are focused on reactions to handle incoming messages, Orpheus supports organizing the internal logic of an agent based on its goals. We give an operational semantics for Orpheus and implement this semantics in an adapter to help build agents. We use the adapter to demonstrate how Orpheus simplifies the programming of decentralized multiagent systems compared to the reactive programming model.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(22)
North Carolina State University (US), University of Turin (IT), Lancaster University (GB)
National Science Foundation
Openalex Percentile: Top 8%
Multi-Agent Systems and Negotiation
3.55
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