By Scott Hazelhurst, Carl-Johan H. Seger (auth.), Thomas Kropf (eds.)
This state of the art monograph offers a coherent survey of numerous tools and platforms for formal verification. It emphasizes the presentation of methods that experience matured into instruments and structures usable for the particular verification of nontrivial circuits. All in all, the publication is a consultant and well-structured survey at the good fortune and destiny capability of formal tools in proving the correctness of circuits. many of the chapters describe the respective techniques offering theoretical foundations in addition to making an allowance for the applying standpoint. via using all equipment and platforms provided to a similar set of IFIP WG10.5 verification examples, a helpful and reasonable research of the strenghts and weaknesses of some of the ways is given.
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Additional resources for Formal Hardware Verification: Methods and Systems in Comparison
4. E. Fink and Q. Yang. Automatically abstracting the eﬀects of operators. In James Hendler, editor, Proceedings of the 1st International Conference on Artiﬁcial Intelligence Planning Systems (AIPS92), pages 243–251, College Park, Maryland, USA, 1992. Morgan Kaufmann. 5. F. Giunchiglia, A. Villaﬁorita, and T. Walsh. Theories of abstraction. Artiﬁcial Intelligence Communications, 10(3-4):167–176, 1997. 6. L. Karlsson. Conditional progressive planning under uncertainty. In Proceedings of the 17th International Joint Conference on Artiﬁcial Intelligence (IJCAI), pages 431–438, 2001.
As demonstrated in , a total order relation between increasing sets of goals allows incremental planning by focusing search on the goals that appear earlier, leading to improved planning performances. To solve problems involving multiple domains, one can envisage to solve in each domain the portion of the problem related to it and then glue all the results in a global plan, but doing so might result in degraded execution of the overall plan, because of the localized reasoning. Our work on plan execution on board mobile robots has motivated us to ﬁnd a general approach that can utilize reasoning over diﬀerent domains using diﬀerent planners for problem solving so the resulting plan would execute smoothly and eﬃciently.
The partitioning of the initial planning problem focuses on producing subproblems with minimum interaction in order to be able to ﬁnd an eﬃcient solution. It is worth noting that problem partitioning is generally combined with abstraction techniques to control the interaction between the diﬀerent sub-components of the planning problem ,. This work has been supported by the Swedish KK foundation and the Swedish research council. -D. Zucker and L. ): SARA 2005, LNAI 3607, pp. 30–43, 2005.