Multi-Agent Negotiation for Adaptive Capacity Scaling in Post-Merger Payment Networks

Authors

  • Radhakrishnan Pachyappan VDart Technologies, USA Author
  • Aman Sardana Discover Financial Services, USA Author
  • Amsa Selvaraj Amtech Analytics, USA Author

Keywords:

multi-agent systems, negotiation protocols, capacity scaling, post-merger integration, transaction processing

Abstract

After the merger of digital payment platforms, transaction throughput and integration complexity can increase exponentially, which might be too much for old infrastructure to handle. This aim of this study is to suggests a multi-agent negotiation paradigm for flexible capacity scaling across diverse authorisation clusters. Agents engage in decentralised reasoning over latency service-level goals (SLOs) and compute-cost budgets, dynamically compute reallocation, memory, and message queue quotas.

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Published

03-02-2019

How to Cite

[1]
Radhakrishnan Pachyappan, Aman Sardana, and Amsa Selvaraj, “Multi-Agent Negotiation for Adaptive Capacity Scaling in Post-Merger Payment Networks”, Edinburg J. of Nat. Lang. Proc. and AI, vol. 3, pp. 68–99, Feb. 2019, Accessed: Jan. 27, 2026. [Online]. Available: https://ejnlpai.org/index.php/publication/article/view/18