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…
Francis Heylighen
scientist · 3 mentions across 1 reading
In this course
Heylighen is a systems theorist and cyberneticist known for work on complexity, self-organization, and distributed intelligence in networked systems. He appears in the course readings primarily through Gershenson's collaboration on thinking about complexity itself—his frameworks help the seminar grapple with how nonlinear, emergent phenomena can be conceptualized and designed when traditional analytical tools fail. His influence is diffuse but foundational, undergirding discussions of how cybernetic principles and complexity theory reshape our understanding of mediation, systems behavior, and adaptive systems in both digital and physical domains.
Mentioned in 1 reading
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.
Carlos Gershenson 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