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ImplicationLink_HOJ Inh SX stupid <.9> Inh SX rich <.97 EFTA00624176 30 20 Knowledge Representat
The Laptop is Safe from the Rain 273 35.5.3 Fetching the Toy Inside the Upper Cupboard 273 35.6 An Integrative Approach to Planning 275 36 Adaptive, Integrative Inference Control 277 36.1 Introduction 277 36.2 High-Level Control Mechanisms 277 36.2.1 The Need for Adaptive Inference Contr
29.7 Conclusion 189 flexibly interacting with a rich stream of data from the everyday human world. Thi
of the neighborhood of partial plans, and to guide PLN's inferences regarding the success likelihood of partial plans. EFTA00624423 Chapter 36 Adaptive, Integrative Inference Control 36.1 Introduction The subtlest and most difficult aspect of logical inference is not the logical rule-set nor the m
value query with target Al a InheritanceLink Bob rich Suppose the deduction rule It is chosen. Then i
each rule with probability proportional to a certain weight associated with each rule. Initially we can assign these weights EFTA00624428 282 36 Adaptive, Integrative Inference Control generically, by hand, separately for each application domain. Later on they should be chosen adaptively, based on in
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