Why petri nets are better than automata?
Best insight from top research papers
Petri nets are considered better than automata for several reasons. Firstly, Petri nets provide a powerful alternative when Boolean models or Markov graphs become too complex due to dynamic aspects and state numbers . Secondly, Petri nets are easy to build and understand due to their graphic representation, making them more accessible than automata . Additionally, Petri nets have extensions such as inhibitor arcs, predicates, and assertions, which enhance their modeling capabilities . Moreover, Petri nets can be modularized and integrated with other modeling techniques like reliability block diagrams and fault trees, making them more user-friendly . Finally, Petri nets have been used successfully in various applications, including code generation and factored planning, where they have shown efficiency and savings compared to automata-based approaches .
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| Papers (4) | Insight |
|---|---|
| The provided paper does not compare Petri nets and automata, so it does not provide an answer to the query. The paper is about Petri automata and their application in recognizing graphs defined by extended regular expressions. | |
| The paper states that Petri nets are better than automata for factored planning because they allow for cheap structural operations like transition contractions, which can reduce the size of the net before generating its state space. This often leads to substantial savings compared to automata. | |
| The provided paper does not directly compare Petri nets to automata. It introduces multilabeled Petri nets as a generalization of constraint automata and discusses their advantages in terms of code generation and optimization. | |
| The paper does not directly compare Petri nets and automata. It focuses on the advantages of continuous Petri nets and presents a translation algorithm from continuous Petri nets to hybrid automata. |
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