185 citations · 757 across the 15 of their papers we have counts for
9 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…
Robust Combining of Disparate Classifiers through Order Statistics
Kagan Tumer, Joydeep Ghosh
Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In the typical…
Linear and Order Statistics Combiners for Pattern Classification
Kagan Tumer, Joydeep Ghosh
Several researchers have experimentally shown that substantial improvements can be obtained in difficult pattern recognition problems by combining or integrating the outputs of mul…