#DYNAMIC LIGHT 1.6.4 HOW TO#
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The payment process involves receiving invoices from bakeries, restaurant supply companies, and vineyards checking the invoices resolving issues with them paying them and managing the funds to cover the payments. Like all companies, Mykonos has to pay invoices. One sheet of the spreadsheet estimates the costs of creating the model, another estimates the expected benefits, and a summary sheet compares the two.Ĭonsider an example. A model value analysis is typically created as a spreadsheet.

A model value analysis is just a summary of the expected costs and the expected benefits, and a comparison of the two. We employ a simple technique to decide whether the model is worth building: We create a model value analysis before modeling. At worst we have wasted half a day.įor larger models, we create a more formal analysis. Do we expect to realize enough benefits to offset the time and trouble of creating the model? If it looks like it will add value, we build the model. Thus, it seems that the basic concepts are few, and that it is the way they are used and combined, which generates the richness of common-sense reasoning.įor small models, ones that can be built in an hour or four, we typically make a quick informal analysis. The alternatives presented can also be seen as suggested research programs, which, we think, should often be quite straightforward, using the machinery developed in subsequent chapters. So, the (poor) reader will be presented a multitude of alternative suggestions, but, will also see that they can often again be based on our basic semantical notions, so multitude is partly a superficial phenomenon. This Section 1.4 also serves to illustrate that the approaches to commonsense reasoning usually discussed in the literature are by no means the only possible ones. (In Chapter 8, we will sketch such an enterprise in rough outline.) In particular, it is very desirable to base as many reasoning types as possible on a few basic semantical notions, when we try to create integrated systems of common-sense logics and reasoning.

#DYNAMIC LIGHT 1.6.4 HOW TO#

(We use “AGM” as abbreviation for the article, its authors Alchourron, Gärdenfors, and Makinson, and their approach.) Preference can also be seen as distance from a fixed ideal point, and we shall see how to generate in a natural and robust way a ranking of sets from a notion of size of elements. a theory revision operator, we can recover a notion of certainty - this is the well known equivalence of AGM-style theory revision with epistemic entrenchment. a notion of certainty can be used to define nonmonotonic reasoning or theory revision, and conversely, given, e.g.

We shall also see that the different types of common-sense reasoning are interdependent.

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We think that such concepts like distance and size are given (in a naive way), but feel free to change their properties as seems necessary and helpful. We do not argue that this reduction is totally exhaustive, only that it seems to capture astonishingly many aspects of common sense reasoning with less than a handful of concepts.

This chapter contains a mostly informal analysis of several forms of common sense reasoning, and bases them to a large extent on a small number of semantical notions, size, preference, and distance.

Dynamic light 1.6.4