Name
Abstract | ||
|---|---|---|
Perceiving agents have a limited sensitivity to distinguish input stimuli. Whatever the cause-random noise, limited numbers of sensing elements, intentional desensitization-formulation of such behavioral phenomena at the system level has not attracted much interest. This work is a first attempt to formalize the limited-sensitivity abstraction and to explore its implications for systems modeling and simulation, both conceptual and practical. In this article. a system theoretic formalization of perceiving agents called quantized systems is provided, linking them with discrete event modeling paradigms and exploring their approximation capability and message reduction in distributed simulation. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1080/01969720050143175 | CYBERNETICS AND SYSTEMS |
Field | DocType | Volume |
Abstraction,Computer science,Random noise,DEVS,Quantization (physics),Systems modeling,Artificial intelligence,System level,Discrete event modeling | Journal | 31.0 |
Issue | ISSN | Citations |
6 | 0196-9722 | 7 |
PageRank | References | Authors |
1.20 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Zeigler | 1 | 1035 | 188.72 |
| Hessam S. Sarjoughian | 2 | 253 | 43.42 |
| Herbert Prähofer | 3 | 189 | 17.00 |