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 complexity theorist whose work on nonlinear systems and emergent behavior provides conceptual tools for understanding how elements in designed systems interact in ways that resist simple linear prediction or composition. The course readings invoke his collaborations on complexity thinking to ground discussions of how cybersemiotic frameworks can analytically distinguish between different types of system mediation and their space-time characteristics, particularly when physical and digital domains interact.
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