Self-Conscious Modeling (Modellierung bewusster Systeme)

2005 ◽  
Vol 47 (4) ◽  
Author(s):  
Kirstie L. Bellman
Keyword(s):  
Computing Systems ◽  
Computer Based ◽  
Generative Processes ◽  
And Control ◽  
Reflective Systems ◽  
Complex Computer ◽  
Organic Computing ◽  
Monitor And Control

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.

Identification and classification of agent behaviour at runtime in open, trust-based organic computing systems

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

scholarly journals An Interface for a Decentralized 2D Reconfiguration on Xilinx Virtex-FPGAs for Organic Computing

2009 ◽  
Vol 2009 ◽  
pp. 1-11 ◽  
Author(s):  
Christian Schuck ◽  
Bastian Haetzer ◽  
Jü rgen Becker
Keyword(s):  
Adaptive Systems ◽  
Computing System ◽  
Partial Reconfiguration ◽  
Computing Systems ◽  
Gate Arrays ◽  
Specific Performance ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
On Chip ◽  
Organic Computing

Partial and dynamic online reconfiguration of Field Programmable Gate Arrays (FPGAs) is a promising approach to design high adaptive systems with lower power consumption, higher task specific performance, and even build-in fault tolerance. Different techniques and tool flows have been successfully developed. One of them, the two-dimensional partial reconfiguration, based on the Readback-Modify-Writeback method implemented on Xilinx Virtex devices, makes them ideally suited to be used as a hardware platform in future organic computing systems, where a highly adaptive hardware is necessary. In turn, decentralisation, the key property of an organic computing system, is in contradiction with the central nature of the FPGAs configuration port. Therefore, this paper presents an approach that connects the single ICAP port to a network on chip (NoC) to provide access for all clients of the network. Through this a virtual decentralisation of the ICAP is achieved. Further true 2-dimensional partial reconfiguration is raised to a higher level of abstraction through a lightweight Readback-Modify-Writeback hardware module with different configuration and addressing modes. Results show that configuration data as well as reconfiguration times could be significantly reduced.

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