Taivo Lints has a broad spectrum of interests in both sciences and humanities, ranging from the desire to better understand how the complex systems around and inside us function, to the forceful drive toward becoming a proficient creator of captivating music. But what have been fueling his scientific curiosity the most are the ideas of artificial life and artificial intelligence. This has led him to do a bachelor’s thesis about artificial neural networks and a master’s thesis about multi-agent modeling of the inner processes of bacterial cells. Currently, he is a PhD student at Tallinn University of Technology, Estonia, focusing on the concept of adaptivity—what it is and how to facilitate it in artificial systems—because the ability to adapt appropriately in uncertain environments seems to be one of the key characteristics of both life and intelligence (and, as an additional bonus, the concept of adaptivity has a considerable importance in many other areas of science, business, and daily life as well). More about Taivo can be found on his website Taivo Lints.
Project: Threshold Patch Cellular Automata and Adaptivity
This project explores threshold patch cellular automata (an apparently novel kind of CA where Elementary CA rules are expanded to also include an additional bit of information that is calculated in a specific way from a wider neighborhood) and considers their applicability to modeling adaptivity.
Favorite Four-Color Totalistic Cellular Automaton