Abstract
In this paper, we aim to establish a mathematical model for mimic computing. To this end, we present a novel automaton called a mimic automaton. First, a one-dimensional cellular automaton is used for expressing some dynamic changes in the structure of a computing unit, a sequential automaton is employed to describe some state transitions, a hierarchical automaton is employed to express the different granularities of some computing units, and a probabilistic automaton is used to depict some random changes of a computing unit. Second, a mimic automaton is obtained by combining the various types of automata mentioned above in a certain logical relationship. Compared with the existing models of mimic computing, the new model portrays the operational semantics for a mimic computing system, and it can directly describe the behaviors of a system. Furthermore, the new model possesses a stronger generality.
| Original language | English |
|---|---|
| Pages (from-to) | 54-65 |
| Number of pages | 12 |
| Journal | Cognitive Systems Research |
| Volume | 57 |
| DOIs | |
| State | Published - Oct 2019 |
Keywords
- Dynamic
- Heterogeneous
- Mimic automata
- Mimic computing
- Operational semantics
- Random
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