人工智能读书报告

: : : : : a*1. a*.g(n)h(n)d(n)=g(n)+h(n)g(n)nh(n)nd(n)=n.g(n)+h(n)a*:h(n)a*tree-search,h(n)-h(n)-a*g(n)nd(n)ngreedy search on d outperforms search on h2. , , , , , , , ( ) . , , ?ft*(s)ft*(s)s(0,1) , : , ; , , :ft(n)?t(gt(n),?(1?d(n)/n)?ht(n) d(n) n, n ;. ra?ft, htht*,rara?*tt(?a,?b)?t(a,b),(0,1)openngt(n)=gt*(n) ft(n)?t(gt(n),?(1?d(n)/n)?ht(n)=t(gt*(n),?(1?d(n)/n)?ht(n) t(gt*(n),?(1?d(n)/n)?ht*(n) t(gt*(n),?ht*(n) t(?gt*(n),?ht*(n) ?ft*(s)3. martellia*o(2n) m. ht?(n)b?(.)ht(n)?ht*(n)ht(n)?ht*(n)|?/b , >1p|?/b ?<1 p|?(ht*(n)?(ht*(n)1.ht(n) ?(n)=n0<?0 <1 <a11?d(n)aht(n)?(1?)?ht(n) ?(n)?n n?(0,1 ?0?ht(n)?ht*(n)ht(n)?ht*(n)y(n)? y(n)? *?(ht(n)?(ht(n)11?aht*(n)y(n)1?a?(y)=yy(n)?y(n)? aa?(ht*(n)aaa 1?p|y(n)|?(1?a)?a?p|y(n)|?(a?1)?a? ? =(+1)a C 10?0?1 ?b1?a?1 ?>01?ht(n)?ht*(n)?p|?p|y(n)|?(ht*(n)ba?1p|y(n)|?(1?a)?a?p|y(n)?(a?1)|?a?b ?(?1)a?1 ht(n)?ht*(n)?1|?0?0?1 ?0 p| ?a?1*?(ht(n)b1?(n)?n pearlara?4. a*, 5. haslum,p., and geffner,h. 2001. heuristic planning with time and resources. in proceedings of ecp-01.bonet,b., and geffner, h. 2001. planning as heuristic search. artificial intellegence 129(1-2):5-33. 15 2110505112 1bpbp2bpbp 2-4 bp bp bp bp 5bp 67bp 89bp6rbf rbf bprbfrbf6rbf11dist9 r?dist?e?dist2 11 11b2rbf17 feigenbaumbernsteinhayes-rothabab.slot12121121975minskya framework for respresenting knowledgeslotslotframework<framework name><slot 1><face 11>:value.<face 1n>:value<slot 2><face 21>:value.<face 2n>:value.framework: <><><>.if-neededif-addednilif-needed:askif-added:checkif-neededif-addedaskcheck xmlpetri19801990agent+>+>80b