Embryonic cells can self-assemble into new living forms that don’t resemble the bodies they usually generate, challenging old ideas of what defines an organism.
Read the full article at: www.quantamagazine.org
A cellular platform for the development of synthetic living machines
Douglas Blackiston, Emma Lederer, Sam Kriegman, Simon Garnier, Joshua Bongard, Michael Levin
Science Robotics 31 Mar 2021:
Vol. 6, Issue 52, eabf1571
This book describes how to create robots capable to develop the behavioral and cognitive skills required to perform a task autonomously, while they interact with their environment, through evolutionary and/or learning processes. It focuses on model-free approaches with minimal human-designed intervention in which the behavior used by the robot solve its task and the way in which such behavior is produced is discovered by the adaptive process automatically, i.e. it is not specified by the experimenter.
Read the full book at: bacrobotics.com
Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov, and Michele Starnini
Phys. Rev. X 11, 011012 (2021)
By embedding opinions in a nonorthogonal topic space, a new model shows that a reinforcement mechanism driven by homophilic social interactions reproduces extreme and correlated opinion states found in surveys.
Read the full article at: link.aps.org
Mario Franco, Octavio Zapata, David A. Rosenblueth, and Carlos Gershenson
Mathematics 2021, 9(8), 792
We propose quantum Boolean networks, which can be classified as deterministic reversible asynchronous Boolean networks. This model is based on the previously developed concept of quantum Boolean functions. A quantum Boolean network is a Boolean network where the functions associated with the nodes are quantum Boolean functions. We study some properties of this novel model and, using a quantum simulator, we study how the dynamics change in function of connectivity of the network and the set of operators we allow. For some configurations, this model resembles the behavior of reversible Boolean networks, while for other configurations a more complex dynamic can emerge. For example, cycles larger than 2N were observed. Additionally, using a scheme akin to one used previously with random Boolean networks, we computed the average entropy and complexity of the networks. As opposed to classic random Boolean networks, where “complex” dynamics are restricted mainly to a connectivity close to a phase transition, quantum Boolean networks can exhibit stable, complex, and unstable dynamics independently of their connectivity.
Read the full article at: www.mdpi.com