Who is the cowboy in Washington?: beating google at their own game with neuroscience and cryptography

• Ano de defesa: 2014
• Autor(a) principal: Kogeyama, Renato
• Orientador(a): Linhares, Alexandre
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Palavras-chave em Português: Cognition; Cognitve science; Sparse distributed memory; Computer science; Psychology; Artificial Intelligence; Brain model
• Link de acesso: http://hdl.handle.net/10438/13524

Who was the cowboy in Washington? What is the land of sushi? Most people would have answers to these questions readily available,yet, modern search engines, arguably the epitome of technology in finding answers to most questions, are completely unable to do so. It seems that people capture few information items to rapidly converge to a seemingly 'obvious' solution. We will study approaches for this problem, with two additional hard demands that constrain the space of possible theories: the sought model must be both psychologically and neuroscienti cally plausible. Building on top of the mathematical model of memory called Sparse Distributed Memory, we will see how some well-known methods in cryptography can point toward a promising, comprehensive, solution that preserves four crucial properties of human psychology.