marcus hutter vlzhxyidsiach since inductive reasoning one way another key ingredient ai systems induction problem longstanding supposedly open philosophical problem following surveylike paper may interesting list members title posting intentionally provocative since paper would like discuss paper considers range philosophical statistical problems around induction precisely problems wellknown approaches induction paper shows specific single known wellknown theory none problems hence concludes induction problem solved problems discussed include confirmation universal hypotheses general classical black ravens paradox particular mahers approach solve problem reparametrization invariance extend symmetry principle finite hypothesis classes hypotheses equally likely infinite hypothesis classes jeffreys prior always work oldevidence problem adhoc hypotheses old evidence confirm theory developed thereafter spot adhoc hypotheses tailored towards past data updating problem bayesian needs choose hypothesismodel class seeing data seldomly reflects scientific practice many issues discussed error bounds magic numbers carnaps confirmation theory laplace rule many would like encourage interested list members read reflect paper ideally start critical discussion offline marcus hutter universal prediction bayesian confirmation theoretical computer science 2007 httpdxdoiorg101016jtcs200705016 httpwwwhutter1netaiuspxpdf short version dense recommended marcus hutter foundations universal sequence prediction proc 3rd annual conference theory applications models computation tamc 2006 httparxivorgabscslg0605009 best regards marcus ______________________ marcus hutter assoc prof rsise room b259 building 115 australian national university corner north daley road canberra act 0200 australia phone 6102 612 51605 fax 6102 612 58651 email jdykjnglapjsanueduau httprsiseanueduaumarcus fri 08 aug 2008 103011 1000 uai solving induction problem