text_combined: jon williamson wpwkxphtsjdlseacuk happy new year everyone couple highlights 2005 1 book bayesian nets causality philosophical computational foundations oup available bayesian nets widely used artificial intelligence calculus causal reasoning enabling machines make predictions perform diagnoses take decisions even discover causal relationships book aimed researchers graduate students computer science mathematics philosophy brings together two important research topics automate reasoning artificial intelligence nature causality probability philosophy httppersonallseacukwillia11jwhtmbnac 2 progic2005 second workshop combining probability logic special focus objective bayesianism centre philosophy natural social science london school economics 6th8th july 2005 httppersonallseacukwillia11progic2005 invited submit paper presentation workshop publication special issue journal logic language computation clear connection probability logic appear tell us reason exactly two concepts related objective bayesianism offers one answer question according objective bayesianism probability generalises deductive logic deductive logic tells us conclusions certain given set premises probability tells us extent one believe conclusion given premises certain conclusions awarded full degree belief according objective bayesianism premises objectively ie uniquely determine degree one believe conclusion aim workshop explore connections probability logic particular evaluate aspects connection forged objective bayesianism workshop intended interdisciplinary themes workshop relevant mathematicians logicians philosophers computer scientists psychologists engineers example details httppersonallseacukwillia11progic2005 best jon williamson department philosophy logic scientific method london school economics houghton street london wc2a 2ae uk httppersonallseacukwillia11 tue 05 aug 2008 150021 0800 uai bayesian nets causality