Fh!`SrSSKr"SS5r\S:XGa\"S5 \"5r\"S5 Sr\R\5r\"S \S 35 \"S \S 35 \"S \SS35 \"S5 Sr\R\5r\"S \S 35 \"S \S 35 \"S5 \RSS5r\"S\S35 \SS:Xa\"S\S35 \"S\ "\R535 \"S5 \"S5 \"S5 \"S5 \"S5 \"S 5 gg)!zI Fluid Intelligence - Solve novel problems, adapt strategies dynamically NcD\rSrSrSrSrSrSrSrSr Sr S r S r g ) FluidIntelligencec /Ul/UlgN) strategiesproblem_history)selfs H/home/james-whalen/eden-agi-project/core/reasoning/fluid_intelligence.py__init__FluidIntelligence.__init__s!cUR5nURU5nURU5nURXA5nUR XQ5nUR R UUUUS.5 UUUUSS.$)z!Solve a problem never seen before)problemtypestrategysolutiong?)rr strategy_usedr confidence)loweridentify_problem_typegenerate_strategiesselect_best_strategyapply_strategyr append)r problem_description problem_lower problem_typer best_strategyrs r solve_novel_problem%FluidIntelligence.solve_novel_problem s+113 11-@ --l; 11*R &&}J ##* % %  + *    rc^[U4SjS55(ag[U4SjS55(ag[U4SjS55(ag [U4S jS 55(ag [U4S jS55(agg)z%Identify what type of problem this isc3,># UH oT;v M g7fr.0wordrs r :FluidIntelligence.identify_problem_type..-sX+W4w+W)optimizemaximizeminimizebest optimizationc3,># UH oT;v M g7frr$r%s r r(r)/J-IT-Ir*)sortorderarrangesortingc3,># UH oT;v M g7frr$r%s r r(r)1r1r*)findsearchlocater8c3,># UH oT;v M g7frr$r%s r r(r)3sG-FT-Fr*)planroutepathplanningc3,># UH oT;v M g7frr$r%s r r(r)5sQ-PT-Pr*)classify categorizegroupclassificationgeneral)any)r rs `r r'FluidIntelligence.identify_problem_type+so X+WX X X! J-IJ J J J-IJ J J G-FG G G Q-PQ Q Q#rc/SQnUS:XaURSS/5 O3US:XaURSS/5 OUS:XaUR/S Q5 US S $) z%Generate multiple possible strategies)divide_and_conquergreedy_approachdynamic_programming brute_forceheuristic_searchr/ hill_climbinggradient_descentr5 merge_sort quick_sortr8) binary_search depth_first breadth_firstN)extend)r rbase_strategiess r r%FluidIntelligence.generate_strategies:sf  > )  " "O5G#H I Y &  " "L,#? @ X %  " "#T Ur""rcSUR5;dSUR5;a/SQnUH nXA;dM Us $ SUR5;dSUR5;aSS/nUH nXA;dM Us $ U(aUS$S $) z Select most appropriate strategylargemany)rHrQrJquickfastrIrLrgeneral_approach)r)r rr preferredstrats r r&FluidIntelligence.select_best_strategyNs gmmo %7==?)BVI"& L# gmmo %7==?)B*,>?I"& L# !+z!}B0BBrc*USUSSS3SU3SS/SS .$) z"Apply selected strategy to problemzAnalyze problem: N2z...zApply zExecute solutionz Verify resultz(Solution generated using fluid reasoning)rstepsresultr$)r rrs r r FluidIntelligence.apply_strategyas>!#GCRL>5 #"  A  rc*US(aSSS.$SSS.$)z Adapt strategy based on feedbacksuccessstrategy_reinforcedz+10%) adaptationrswitching_strategytrying_different_approach)ri alternativer$)r feedbacks r adapt_strategy FluidIntelligence.adapt_strategyns# I "7vN N#7Gbc crcURVs/sH,nUR5USR5;dM*UPM. nnU(aUSSnSUUUSS.$SSS .$s snf) z*Transfer learned strategies across domainsrrrgg333333?)transferfromtorrno_similar_problemsg333333?)rrr)r r)r from_domain to_domainpsimilarrs r transfer_knowledge$FluidIntelligence.transfer_knowledgews#22B2 &&(AiL,>,>,@@2B r{:.H%#$!  2EEBs )A A )r rN) __name__ __module__ __qualname____firstlineno__r r rrrrrnrz__static_attributes__r$rr rrs." @ #(C&  dFrr__main__zFLUID INTELLIGENCE TESTu 🧩 Novel Problem 1:z:Find the best route to visit 10 cities minimizing distancez Problem type: rz Strategy: rz Confidence: rz.0%u 🧩 Novel Problem 2:z#Sort 1000 items by priority quicklyu7 🔄 Transfer knowledge from 'routing' to 'logistics':r< logisticsz Transfer: rrrgz Using strategy: ru 📊 Problems solved: u 🌊 Eden now has:z - Novel problem solvingz - Dynamic strategy selectionz - Cross-domain transferz - Adaptive learningu# ✅ FLUID INTELLIGENCE OPERATIONAL) __doc__randomrr|printfluidrr rdrzlenr r$rr rsAFAFF z #$  E #$JG  & &w /F fVn- ./ M&12 34 OF<05 67 #$3G  & &w /F fVn- ./ M&12 34 DE  % %g{ ;F M&,- ./ jY& #F:$6#789 $S)>)>%?$@ AB ! &' +, &' "# 01Gr