Remarks on Self-organization and Trust in Organic Computing Systems

Author(s):  
Hartmut Schmeck
2010 ◽  
Vol 5 (3) ◽  
pp. 1-32 ◽  
Author(s):  
Hartmut Schmeck ◽  
Christian Müller-Schloer ◽  
Emre Çakar ◽  
Moez Mnif ◽  
Urban Richter

2005 ◽  
Vol 47 (4) ◽  
Author(s):  
Kirstie L. Bellman

SummuryIncreasingly diverse and complex computer-based support underlies critical human processes, such as education, commerce, medicine, science, defense, and government. These systems are fed massive amounts of data and due to the complexity and size of these systems, they are integrating and interfacing with each other with less human oversight. Soon, they will need to build, refine, and elaborate their own models and processes, making more decisions about what information to use in what manner and how to approach problems or goals. Hence, these systems must be able to reason about and report out to us their modeling and processing choices in order to help us monitor and control their operations and interactions. In this paper, we discuss our work on creating reflective systems, and how reflection coupled with “generative processes” and “cognitive instrumentation” will help enable organic computing systems. We then briefly describe our testbed for studying self-conscious modeling.


Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 23
Author(s):  
Todd Hylton

Concepts from thermodynamics are ubiquitous in computing systems today—e.g., in power supplies and cooling systems, in signal transport losses, in device fabrication, in state changes, and in the methods of machine learning. Here we propose that thermodynamics should be the central, unifying concept in future computing systems. In particular, we suppose that future computing technologies will thermodynamically evolve in response to electrical and information potential in their environment and, therefore, address the central challenges of energy efficiency and self-organization in technological systems. In this article, we summarize the motivation for a new computing paradigm grounded in thermodynamics and articulate a vision for such future systems.


2017 ◽  
Vol 75 ◽  
pp. 68-78 ◽  
Author(s):  
Jan Kantert ◽  
Sven Tomforde ◽  
Richard Scharrer ◽  
Susanne Weber ◽  
Sarah Edenhofer ◽  
...  

2005 ◽  
Vol 19 (3) ◽  
pp. 223-233 ◽  
Author(s):  
Torsten Eymann ◽  
Michael Reinicke ◽  
Felix Freitag ◽  
Leandro Navarro ◽  
Oscar Ardaiz ◽  
...  

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