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Product Description
This book describes Probabilistic Logic Networks (PLN), a novel conceptual, mathematical and computational approach to uncertain inference. In order to carry out effective reasoning in real-world circumstances, AI software must robustly handle uncertainty. However, previous approaches to uncertain inference do not have the breadth of scope required to provide an integrated treatment of the disparate forms of cognitively critical uncertainty as they manifest themselves within the various forms of pragmatic inference. Going beyond prior probabilistic approaches to uncertain inference, PLN is able to encompass within uncertain logic such ideas as induction, abduction, analogy, fuzziness and speculation, and reasoning about time and causality. The book reviews the conceptual and mathematical foundations of PLN, giving the specific algebra involved in each type of inference encompassed within PLN. Inference control and the integration of inference with other cognitive faculties are also briefly discussed.
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inference formulas, experiential semantics, intensional inheritance, indefinite plausibility, intensional inference, indefinite probabilities, extensional inference, batch inference, inference trail, indefinite probability, ordinary plausibility, inference protocol, circular inference, error magnification, deduction formula, intensional relationships, fuzzy quantifiers, event calculus, temporal inference, gradient norms, uncertain inference, imprecise probabilities, universe size, betting behavior, credible interval Key Phrases - Capitalized Phrases (CAPs): (learn more)
Probabilistic Logic Networks, First Order Extensional Inference, Higher-Order Extensional Inference, Inheritance Earth, Probabilisitic Logic Networks, Rule of Choice, Large-Scale Inference Strategies, Pei Wang, Subset American, American Company, Aspects of Inference Control, Implication Inheritance, Novamente Cognition Engine, Equivalence Subset, American Bank, Monte Carlo, Equivalence Member, Let Sub, Member Ben Americans, Financial Institution, Ben Goertzel, Distributional Truth Values, Tuesday January, Indefinite Truth Values, Inference Control Browse Sample Pages:
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