Virtual characters play an important role in computergenerated environments, such as, video games, training simulations, and animated films. Traditional character animation control methods evolve around key-frame systems and rigid skeletons. In this paper, we investigate the creation and control of soft-body creatures. We develop creatures that learn their own motor controls and mimic animal be...

We propose, based on the Peircean semiotics and inspired by an ethological case, a methodology to simulate the emergence of symbolic predator-warning communication among artificial creatures in a virtual world of predatory events. In order to build a digital ecosystem, and infer the minimum organizational constraints for the design of our creatures, we examined the well-studied case of semiosis...

The Problem: The simulated evolution of virtual creatures has produced many intriguing demonstrations, providing simple locomotion abilities and strategies for simple competetive games. However, to achieve a richer set of behaviours, adaptation within the individual’s lifetime is being explored. Can evolution be used to learn domain specific rules for solving the credit assignment problem and s...

It is believed that pulsars are neutron stars or strange stars with crusts. However we suggest here that pulsars may be bare strange stars (i.e., strange stars without crust). Due to rapid rotation and strong emission, young strange stars produced in supernova explosions should be bare when they act as radio pulsars. Because of strong magnetic field, two polar-crusts would shield the polar caps...

This is a project on Artificial Life where we simulate an ecosystem that allows cooperative interaction between agents, including intra-specific predatorwarning communication in a virtual environment of predatory events. We propose, based on Peircean semiotics and informed by neuroethological constraints, an experiment to simulate the emergence of symbolic communication among artificial creatur...