Thus, from a design perspective, I propose we rethink the mediation capabilities of the elements in the meta-environment and their space-time and/or physical-digital characteristics based on Brier’s cybersemiotic framework, which allows for…A common characteristic of models of complex systems is that they are nonlinear. This means that the elements of a system interact in ways that are more complex than additions and subtractions. In a linear system, we just add the properties…Garcia, D. (2013). Intelligent Horses: A Cybersemiotic Perspective. Doctoral dissertation. California Institute of Integral Studies.
Gershenson, C., & Heylighen, F. (2005). How can we think complex? In K. Richardson (Ed.), Managing organiz…
Carlos Gershenson
scientist · 3 mentions across 1 reading
In this course
Gershenson is a systems theorist working at the intersection of complexity science and cybernetics, particularly known for thinking through nonlinear dynamics and self-organization in complex systems. The readings invoke his work alongside Heylighen's to address how we can conceptually and methodologically approach complexity itself—moving beyond additive, linear thinking toward frameworks that capture emergent, interactive behaviors in systems. His contribution appears instrumental to the course's effort to ground AI and machine learning within broader cybernetic and complexity-theoretical contexts rather than treating them as isolated technical domains.
Mentioned in 1 reading
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.
Francis Heylighen 3Christopher Jacques 1David Garcia 1David Joselit 1Gary Perlman 1Gary Strong 1John Gasen 1Kurt Richardson 1Lev Manovich 1Marcel Duchamp 1Margot Lovejoy 1Marilyn Mantei 1Nelson Goodman 1Nora Lambert 1Patrick A. Heelan 1Pille Guddemi 1Ronald Baecker 1Stuart Card 1Thom Carey 1Thomas T. Hewett 1William Verplank 1Søren Brier 1Jacques 1