{"product_id":"probabilistic-logic-networks-a-comprehensive-framework-for-uncertain-inference-9781441945785","title":"Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference","description":"\u003cp\u003e • Author(s): Ben Goertzel\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book describes Probabilistic Logic Networks (PLN), a novel conceptual, mathematical and computational approach to uncertain inference. Going beyond prior probabilistic approaches to uncertain inference, PLN encompasses such ideas as induction, abduction, analogy, fuzziness and speculation, and reasoning about time and causality. The book provides an overview of PLN in the context of other approaches to uncertain inference. Topics addressed in the text include: \u003c\/p\u003e \u003cul\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ethe basic formalism of PLN knowledge representation\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ethe conceptual interpretation of the terms used in PLN\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ean indefinite probability approach to quantifying uncertainty, providing a general method for calculating the \"weight-of-evidence\" underlying the conclusions of uncertain inference\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003especific PLN inference rules and the corresponding truth-value formulas used to determine the strength of the conclusion of an inference rule from the strengths of the premises\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003elarge-scale inference strategies\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003einference using variables \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eindefinite probabilities involving quantifiers\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003einheritance based on properties or patterns\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ethe Novamente Cognition Engine, an application of PLN\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003etemporal and causal logic in PLN\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e \u003cp\u003eResearchers and graduate students in artificial intelligence, computer science, mathematics and cognitive sciences will find this novel perspective on uncertain inference a thought-provoking integration of ideas from a variety of other lines of inquiry.\u003c\/p\u003e \u003cul\u003e \u003cul\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45275677786263,"sku":"9781441945785","price":10915.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781441945785.webp?v=1769283614","url":"https:\/\/atlanticbooks.com\/products\/probabilistic-logic-networks-a-comprehensive-framework-for-uncertain-inference-9781441945785","provider":"Atlantic Books","version":"1.0","type":"link"}