Simulation of a Cellular Automaton with Markov Chains: Applications in Self-Organized Dynamical Systems

George I. Lambrou, Pinelopi Ioannidou1, Paschalis Bizopoulos2, Petros Toumpaniaris2, Stavros Kepentzis2, Dimitrios Koutsouris

  • 1Department of Biomedical Research, Institute of Molecular Biolog
  • 2National Technical University of Athens

Details

09:15 - 09:30 | Wed 24 Jul | M3 - Level 3 | WeA15.4

Session: Bioinformatics - Bioinformatics for Health Monitoring

Abstract

over the past years, technology has allowed information technology to contemplate complex events as well as complex semantic features to predict what types of “thoughts” are being conceptualized. The introduction of the neuro-robotics field allows a mix of different disciplines to inter-collate and produce actual results that could be considered outputs of a science-fiction novel 20 twenty years ago. In the present work, we attempt to present an example of how a robotic entity can move in an environment full of obstacles, by regulating its behavior so as to allow a decision based on rewards and penalties experiences. Examples of the robotic behavior, running on a virtual environment are presented, along with a discussion of its different possibilities expressed as a penalty function for the behavior of the robot.