neural networks research group
areas
people
projects
demos
publications
software/data
Multiagent Systems
As autonomous agents proliferate in the real world, it becomes increasingly important to consider their interactions. Distinct agents may be teammates, opponents, or have unrelated goals. Game theory is a powerful tool for considering relatively small-scale interactions. Different tools are needed for more complex systems.
Publications
None
Accelerating Evolution via Egalitarian Social Learning
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen
In
Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012)
2012
Evolving Multimodal Networks for Multitask Games
Jacob Schrum and Risto Miikkulainen
In
Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011)
, 102...
2011
Evolving Multi-modal Behavior in NPCs
Jacob Schrum and Risto Miikkulainen
In
IEEE Symposium on Computational Intelligence and Games (CIG 2009)
, 325--332, Milan, Italy,...
2009
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution
Jacob Schrum and Risto Miikkulainen
In
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Confer...
2008
People
None
Erkin Bahceci
Ph.D. Alumni
erkin [at] cs utexas edu
Jacob Schrum
Ph.D. Alumni
schrum2 [at] southwestern edu
Demos
None
Fitness-based Shaping in Multi-objective Domains
Jacob Schrum
2010