• Multiagent Learning. K. Tuyls and K. Tumer. In G. Weiss, editors, Multiagent Systems, Springer, 2013. Abstract-Bibtex   
    • Efficient State Spaces and Policy Transfer for Robot Navigation. M. Knudson and K. Tumer. In L. Garcia, editors, Advanced Robotics, Concept Press, 2012. Abstract-Bibtex   
    • Coordinating Learning Agents for Multiple Resource Job Scheduling. K. Tumer and J. Lawson. In M. Taylor and K. Tuyls, editors, Adaptive Agents and Multi-Agent Systems IV, Lecture notes in AI, Springer, 2010. Abstract-Bibtex   
    • Traffic Congestion Management as a Learning Agent Coordination Problem. K. Tumer, A. K. Agogino, and Z. Welch. In A. Bazzan and F. Kluegl, editors, Multiagent Architectures for Traffic and Transportation Engineering, pp. 261–279, Lecture notes in AI, Springer, 2009.Abstract-Bibtex   [pdf] (280.0kB ) 
    • Coordinating Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments. K. Tumer and A. K. Agogino. In S. Yang, editors, Evolutionary Computation in Dynamic and Uncertain Environments, pp. 371–388, Springer, 2007. Abstract-Bibtex   
    • Efficient Reward Functions for Adaptive Multi-Rover Systems. K. Tumer and A. K. Agogino. In K. Tuyls, P. Jan't Hoen, S. Sen, and K. Verbeeck, editors, Learning and Adaptation in MultiAgent Systems, pp. 177–191, Lecture notes in AI, Springer, 2006.Abstract-Bibtex   
    • Designing Agent Utilities for Coordinated, Scalable and Robust Multiagent Systems. K. Tumer. In P. Scerri, R. Mailler, and R. Vincent , editors, Challenges in the Coordination of Large Scale Multiagent Systems, pp. 173–188, Springer, 2005. Abstract-Bibtex   [pdf] (194.9kB ) 
    • Providing Effective Access to Shared Resources: A COIN Approach. S. Airau, S. Sen, D. Wolpert, and K. Tumer. In G. Di Marzo Serugendo, A. Karageorgos, O. F. Rana, and F. Zambonelli, editors, Engineering Self-Organizing Systems: Nature-Inspired Approaches to Software Engineering, Lecture Notes in Computer Science, pp. 249–264, Springer-Verlag, 2004. Abstract-Bibtex   [pdf] (208.5kB ) 
    • A Survey of Collectives. K. Tumer and D. Wolpert. In K. Tumer and D. Wolpert, editors,Collectives and the Design of Complex Systems, pp. 1–42, Springer, 2004. Abstract-Bibtex   [pdf] (259.7kB ) 
    • Optimal Payoff Functions for Members of Collectives. D. H. Wolpert and K. Tumer. In F. Schweitzer, editors, Modeling Complexity in Economic and Social Systems, pp. 355–369, World Scientific, 2002. Abstract-Bibtex   
    • Robust Order Statistics Based Ensembles for Distributed Data Mining. K. Tumer and J. Ghosh. In H. Kargupta and P. Chan, editors, Advances in Distributed and Parallel Knowledge Discovery, pp. 185–210, AAAI/MIT Press, 2000. Abstract-Bibtex   [pdf] (191.6kB ) 
    • Linear and Order Statistics Combiners for Pattern Classification. K. Tumer and J. Ghosh. In A. J. C. Sharkey, editors, Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems, pp. 127–162, Springer-Verlag, London, 1999. Abstract-Bibtex   [pdf] (350.7kB ) 
    • Integration of Neural Classifiers for Passive Sonar Signals. J. Ghosh, K. Tumer, S. Beck, and L. Deuser. In C.T. Leondes, editors, Control and Dynamic Systems---Advances in Theory and Applications, pp. 301–338, Academic Press, 1996. Abstract-Bibtex