</s> ▁Comput ational ▁ep ist em ology ▁is ▁a ▁sub dis cipl ine ▁of ▁formal ▁ep ist em ology ▁that ▁studies ▁the ▁intr insic ▁complexity ▁of ▁induct ive ▁problems ▁for ▁ideal ▁and ▁computation ally ▁bounded ▁agents . ▁In ▁short , ▁computational ▁ep ist em ology ▁is ▁to ▁induction ▁what ▁recursion ▁theory ▁is ▁to ▁dedu ction . ▁ ▁Th emes ▁Some ▁of ▁the ▁them es ▁of ▁computational ▁ep ist em ology ▁include : ▁the ▁essential ▁li ken ess ▁of ▁induction ▁and ▁dedu ction ▁( as ▁illustrated ▁by ▁system atic ▁analog ies ▁between ▁their ▁respective ▁complexity ▁classes ) ▁the ▁treatment ▁of ▁discovery , ▁prediction ▁and ▁assess ment ▁methods ▁as ▁effective ▁procedures ▁( alg orithms ) ▁as ▁origin ates ▁in ▁algorithm ic ▁learning ▁theory . ▁the ▁character ization ▁of ▁induct ive ▁inference ▁problems ▁as ▁consisting ▁of : ▁▁ ▁a ▁set ▁of ▁relevant ▁possibilities ▁( possible ▁world s ), ▁each ▁of ▁which ▁spec ifies ▁some ▁potentially ▁infinite ▁sequence ▁of ▁inputs ▁to ▁the ▁scient ist ' s ▁method , ▁▁ ▁a ▁question ▁whose ▁potential ▁answers ▁partition ▁the ▁relevant ▁possibilities ▁( in ▁the ▁set ▁the or etic ▁sense ), ▁▁▁ ▁a ▁conver gent ▁success ▁criter ion ▁and ▁ ▁a ▁set ▁of ▁adm iss ible ▁methods ▁▁ ▁the ▁notion ▁of ▁logical ▁reli ability ▁for ▁induct ive ▁problems ▁ ▁Qu ot ations ▁ ▁Comput ational ▁ep ist em ology ▁definition : ▁" Comput ational ▁ep ist em ology ▁is ▁an ▁inter dis cipl inary ▁field ▁that ▁concerns ▁itself ▁with ▁the ▁relationships ▁and ▁constraints ▁between ▁reality , ▁measure , ▁data , ▁information