Issue 99017 | Editor: Erik Sandewall | [postscript] | ||
30.6.1999 |
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Today |
Today, the ENRAC has the pleasure to announce a major new initiative: the Logic Modelling Workshop, LMW. The LMW is the natural next step following the publication of reference articles in the ETAI, and it comes exactly one year after the initial call for contributions for those reference articles. In brief, the idea is as follows. Our field can no longer continue with the exercise of toy examples for illustrating proposed new approaches, one after the other. Besides proposing logics for actions and change, we should also use them. The publication of axiomatizations of important classes of phenomena ought to be an important activity for the field. The analysis, validation, and comparison of those axiomatizations is also important, as well as the comparison of logics by way of comparing the use of several logics for the same class of scenarios. The activity of producing, analyzing, and validating such axiomatizations (logic modelling, for short) needs a certain amount of structure. It also calls for a different kind of articles than what we are used to. The LMW proposes to use the following structure:
The LMW web page has been set up at
The LMW is in operation, and additional material will be added successively. Contributions are invited effective immediately. Suggestions for additional scenario worlds, besides the two that are already on the web page, are particularly welcome. Comments about this initiative are most welcome as well!
Available reference articlesThe ETAI accepted reference articles cover most of the current major approaches to reasoning about actions and change. However, we have been missing a reference article for the event calculus. Today, we announce that Murray Shanahan has submitted such a reference article. It will of course be refereed according to the same criteria as the earlier reference articles. Without anticipating the acceptance decision, the LMW will accept axiomatizations using the event calculus with the notation defined in the submitted article.
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ETAI Publications |
Received reference articlesMurray Shanahan
Abstract: This article presents the event calculus, a logic-based formalism for representing actions and their effects. A circumscriptive solution to the frame problem is deployed which reduces to monotonic predicate completion. Using a number of benchmark examples from the literature, the formalism is shown to apply to a variety of domains, including those featuring actions with indirect effects, actions with non-deterministic effects, concurrent actions, and continuous change.
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Publication Status for LMW Contributions |
We foresee that contributions to the LMW will be shorter and more formal than classical research articles in our field. If an author succeeds well with modularizing his or her axiom set, and each module is written up as a separate contribution, we may hope to have contributions of around 8-10 pages each. This would be entirely normal in comparison with the publication habits of many other fields. Since these articles may differ in many ways from traditional AI and KR articles, we do not consider it reasonable to channel them directly into the ETAI in all cases. Instead, LMW contributions will be published as technical notes in the ENRAC - the Electronic News Journal on Reasoning about Actions and Change. This means concretely:
Although the LMW technical notes are not fully peer reviewed publications, it is understood that their contents may be used as the basis for later, full publications. An article proposing an approach to a major representational challenge may rely on, and refer to, axiomatizations for nontrivial scenario worlds that have been previously (or concurrently) published as LMW technical notes. In particular, the ETAI will welcome articles that make reference (without need for repeating the contents) both to ETAI reference articles for the conceptual and notational framework, and to LMW technical notes for the logicist modelling of scenario worlds. In this way we hope that the ETAI will be a forum where results can accumulate - so that new contributions can build effectively on earlier contributions.
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