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The most important point here is that the inductive bias of PROLOG-EBGthe policy by which it generalizes beyond the training data-is largely determined by the input domain theory This lies in stark contrast to most of the other learning algorithms we have discussed (eg, neural networks, decision tree learning), in which the inductive bias is a fixed property of the learning algorithm, typically determined by the syntax of its hypothesis representation Why is it important that the inductive bias be an input parameter rather than a fixed property of the learner Because, as we have discussed in 2 and elsewhere, there is no universally effective inductive bias and because bias-free learning is futile Therefore, any attempt to develop a general-purpose learning method must at minimum allow the inductive bias to vary with the learning problem at hand On a more practical level, in many tasks it is quite natural to input domainspecific knowledge (eg, the knowledge about Weight in the SafeToStack example) to influence how the learner will generalize beyond the training data In contrast, it is less natural to "implement" an appropriate bias by restricting the syntactic form of the hypotheses (eg, prefer short decision trees) Finally, if we consider the larger issue of how an autonomous agent may improve its learning capabilities over time, then it is attractive to have a learning algorithm whose generalization capabilities improve as it acquires more knowledge of its domain

The DVD-Video specification was put together like a patchwork quilt, with different parts coming from dozens of different engineers speaking Japanese, Dutch, and English The books were assembled and produced in Japanese and then translated into English Engineers from a large number of companies all over the world implemented the specs in player designs It is no surprise, therefore, that the DVD-Video feature set is incompletely or improperly implemented in many players Even then, many incompatibility problems have resulted simply from laziness or carelessness Many early DVD title developers had to scale back their plans after discovering that their ingeniously designed discs worked differently or not at all on different players For example, the DVD specification allows 999 chapters per title, but some players cannot handle more than 511 Likewise, players are supposed to support 999 program chains, but some early players balk at 244 Some cannot handle full video data rates of 98 Mbps, whereas others cannot deal with extra files in the root directory The release of The Matrix in 1999 brought wide publicity to the general malady Because The Matrix was the first million-seller DVD, and because it was an unusually complex title that also contained PC enhancements, more people than ever before had problems playing the disc Some problems were caused by authoring and formatting errors on the disc, but most problems were caused by flaws in a surprisingly high number of player models Taking the long view, The Matrix and other problem discs did the DVD world a favor by exposing flaws in players that failed to properly play discs authored according to the DVD specification Although the backlash to the studios, production houses, and InterActual (the company providing the PCFriendly computer enhancement software) was painful, pushing the envelope early ensured that DVD manufacturers are now more responsible about making players that work right It is better to deal with these growing pains early on when there are only a few million players than later when there are tens of millions The number of players that continue to have design flaws, even after many iterations, is inexcusable because they fail on discs that have been available for years Some problems are caused by bugs in DVD authoring software, but as authoring software programs mature, most of them incorporate workarounds to avoid known errors and deficiencies in players The situation is slowly improving with each new release of players, but producers who want their discs to work on their customers players must still accommodate older models.

Writing a method that sets an instance variable (implementation)

As pointed out in Equation (112), the hypothesis h output by PROLOG-EBG follows deductively from the domain theory B and training data D In fact, by examining the PROLOG-EBG algorithm it is easy to see that h follows directly from B alone, independent of D One way to see this is to imagine an algorithm that we might

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