185 citations · 1.7k across the 78 of their papers we have counts for
6 papers · 1 filter
Avoiding Braess' Paradox through Collective Intelligence
Kagan Tumer, David H. Wolpert
In an Ideal Shortest Path Algorithm (ISPA), at each moment each router in a network sends all of its traffic down the path that will incur the lowest cost to that traffic. In the l…
Adaptivity in Agent-Based Routing for Data Networks
David H. Wolpert, Sergey Kirshner, Chris J. Merz +1
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems (MAS's) in noisy environments. O…
An Introduction to Collective Intelligence
David H. Wolpert, Kagan Tumer
This paper surveys the emerging science of how to design a ``COllective INtelligence'' (COIN). A COIN is a large multi-agent system where: (i) There is little to no centralized com…
Collective Intelligence for Control of Distributed Dynamical Systems
David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
We consider the El Farol bar problem, also known as the minority game (W. B. Arthur, ``The American Economic Review'', 84(2): 406--411 (1994), D. Challet and Y.C. Zhang, ``Physica…
General Principles of Learning-Based Multi-Agent Systems
David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
We consider the problem of how to design large decentralized multi-agent systems (MAS's) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a r…
Using Collective Intelligence to Route Internet Traffic
David H. Wolpert, Kagan Tumer, Jeremy Frank
A COllective INtelligence (COIN) is a set of interacting reinforcement learning (RL) algorithms designed in an automated fashion so that their collective behavior optimizes a globa…