neural networks research group
areas
people
projects
demos
publications
software/data
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures (2014)
Author: Dan Lessin, Don Fussell, Risto Miikkulainen
The ESP method for evolving virtual creatures [1] consisted of an encapsulation mechanism to preserve learned skills, a human-designed syllabus to build higher-level skills by combining lower-level skills systematically, and a pandemonium mechanism to resolve conflicts between encapsulated skills in a single creature's brain. Previous work with ESP showed that it is possible to evolve much more complex behavior than before, even when fundamental morphology (i.e., skeletal segments and joints) was evolved only for the first skill. This paper introduces a more general form of ESP in which full morphological development can continue beyond the first skill, allowing creatures to adapt their morphology to multiple tasks. This extension increases the variety and quality of evolved creature results significantly, while maintaining the original ESP system's ability to incrementally develop complex behaviors from a sequence of simpler learning tasks. In the future, this method should make it possible to build EVCs with complex and believable behavior.
[1] Dan Lessin, Don Fussell, and Risto Miikkulainen. Open-Ended Behavioral Complexity for Evolved Virtual Creatures. GECCO 2013.
People
Dan Lessin
Ph.D. Alumni
dlessin [at] cs utexas edu
Projects
The Role of Emotion and Communication in Cooperative Behavior
2013 - 2016
Publications
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures
Dan Lessin, Don Fussell, Risto Miikkulainen
To Appear In
Proceedings of The Fourteenth International Conference on the Synthesis and Simulati...
2014
Evolved Virtual Creatures as Content: Increasing Behavioral and Morphological Complexity
Dan Lessin
PhD Thesis, Computer Science Department, The University of Texas at Austin, Austin, Texas, December ...
2014
Neuroevolution Insights Into Biological Neural Computation
Risto Miikkulainen
To Appear In
Science
, 2024.
2024
Neuroevolution: Harnessing Creativity in AI Model Design
Sebastian Risi, David Ha, Yujin Tang, Risto Miikkulainen
To Appear In , Cambridge, MA, 2025. MIT Press.
2025
Areas of Interest
Evolutionary Computation
Neuroevolution
Control
Robotics
Artificial Life