AIAug 11, 2021
Friddy multiagent price stabilization model
arXiv:2108.05436v1
Originality Synthesis-oriented
AI Analysis
This addresses price stabilization in multiagent networks, but appears incremental as it builds on existing transaction-based equilibrium models.
The paper tackles the problem of price stabilization in a multiagent network where nodes trade Friddy coins, aiming to achieve equilibrium through iterative buy and sell transactions.
In a multiagent network model consisting of nodes, each network node has an agent and priced Friddy coins, and the agent can buy or sell Friddy coins in the marketplace. Though every node may not effectively have an equal price during the transaction time, the prices have to reach equilibrium by iterating buy and sell transactions on a macro level.