This paper, originally submitted in 2015 and later withdrawn, explores the concept of information entropy as an anthropomorphic idea, drawing parallels with thermodynamic entropy as described by E.T. Jaynes and Eugene Paul Wigner. The author, Panteleimon Rodis, aimed to generalize Shannon's definition of information entropy to align with this anthropomorphic perspective. The research proposed applications of this generalized entropy concept for comparing password complexity and measuring diversity in genetic algorithms. AI
IMPACT This paper's exploration of information entropy as an anthropomorphic concept and its proposed applications in password complexity and genetic algorithms offers a theoretical perspective on AI-related fields.
RANK_REASON The item is a withdrawn academic paper discussing theoretical concepts in information theory. [lever_c_demoted from research: ic=1 ai=0.7]
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