Download Air Apparent (Xanth, Book 31) by Piers Anthony PDF

By Piers Anthony

While the great Magician Humfrey's son Hugo all at once vanishes, his disappearance units in movement a sequence of madcap misadventures that ship a set of colourful characters on a deadly pair of parallel quests. between them are Debra, a stunning younger lady beset by way of an obnoxious curse; Hugo's cherished spouse Wira, whose sightlessness is balanced via a expertise for sensitivity, chuffed and Fray, a couple of sprightly storm-spirits; Nimbus, the Demon Xanth's personal son; and the mysterious outlaw often called the Random Factor.
As they go back and forth via the various magical realm's so much astounding locales, those unwitting adventurers become aware of they're key avid gamers in a grand drama whose origins achieve again to the origins of time itself.
 Filled with pleasure and pleasure, ribaldry and romance, Air obvious is a wonderful new myth saga from the vigorous mind's eye of grasp storyteller Piers Anthony.

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Extra resources for Air Apparent (Xanth, Book 31)

Example text

Da Silva Neves, ‘An experimental analysis of possibilistic default reasoning’, in KR2004, pp. 130–140. AAAI Press, (2004). [2] S. Benferhat, J. F. Bonnefon, and R. M. Da Silva Neves, ‘An overview of possibilistic handling of default reasoning: An experimental study’, Synthese, 146, 53–70, (2005). [3] S. Benferhat, D. Dubois, L. Garcia, and H. Prade, ‘On the transformation between possibilistic logic bases and possibilistic causal networks’, International Journal of Approximate Reasoning, 29, 135–173, (2002).

7 CONCLUDING REMARKS We have presented a simple qualitative model of the causal ascriptions an agent will make from its background default knowledge, when confronted with a series of events. In addition to supplementing this model with a do(•) operator, we intend to extend our present work in three main directions. First, we should be able to equip our framework with possibilistic qualitative counterparts to Bayesian networks [3], since System P augmented with Rational Monotony can be represented in possibilistic logic [4].

1) are met both for A, B, C and for do(A), B, C, where do(A) means that the occurrence of A is forced by an intervention [22]. As for now, we only give a brief example of how such an operator can be used in our approach. Example 6 (Yellow teeth). An agent learns that someone took up smoking, that this person’s teeth yellowed, and that this person developed lung cancer. , (C |∼ ¬Smoke, C |∼ ¬Yellow, C |∼ ¬Lung). The agent believes that it is normal for smokers to have yellow teeth (C ∧ Smoke |∼ Yellow) and to develop lung cancer (C ∧ Smoke |∼ Lung), and that it is not abnormal for someone who has yellow teeth to develop lung cancer (C ∧Yellow |∼ ¬Lung).

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