NKVis
Released 2011
This package contains a 3D visualization tool for NK fitness landscapes. Two types of visualizations are provided: a rectangular visualization that displays the whole space and a spherical visualization that shows a local neighborhood around an origin point, for the given N and K values.

An example visualization depicts waveriding where Competitive Multi-Agent Search proceeds by finding points in the boosted area.

Versions:

  • v1.0 5/26/11
  • v1.1 10/20/13
    • Improved NK-model fitness calculation.
Download:
ZIP, TAR
People
Erkin Bahceci Ph.D. Alumni erkin [at] cs utexas edu
Riitta Katila Collaborator rkatila [at] stanford edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Publications
Evolving Strategies for Competitive Multi-Agent Search 2023
Erkin Bahceci, Riitta Katila, and Risto Miikkulainen, arXiv:2306.10640 (2023).
Competitive Multi-Agent Search 2014
Erkin Bahceci, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Projects
A Predictive Simulation Model of Competitive Dynamics in Innovation 2009 - 2013
Areas of Interest
Other Areas
Demos
Simulation of Competitive Multi-Agent Search on NK Fitness LandscapesErkin Bahceci2012
Labs
Neural Networks