Epstein Secrets

ttorney's Office Southern District of Florida 500 South Australian Avenue, Suite 400 West Palm Beach, Florida 33401 Jeffrey Epstein Dear Messrs. Sloman, Menchel and Lourie and Ms. Villafafia: We write as counsel to Jeffrey Epstein to follow-up on our meeting on June 26, 2007. We thought the meeting

awoom RENATO C. STABILE slabIle&elcourIlawcorn FAITH A. FRIEDMAN [email protected] BY FEDERAL EXPRESS TELEPHONE FACSIMILE July 6, 2007 Jeffrey Sloman, Esq., First Assistant United States Attorney Matthew Menchel, Esq., Chief, Criminal Division The United States Attorney's Office Southern Distric

human cognition. Aaron Sloman's Cognition and Affect project has explored a space of architectures proposed as models for human minds; a sketch of Sloman's H-CogAff model is shown in figure 5. (FIGURE 5 OMITTED) This architecture appears to provide a framework for defining with greater precision than

itecture by starting with a useful application like a search engine or conversational agent, and extending its common sense abilities over time. But Ben Kuipers worried that choosing too specific an application would lead to what happened to most previous projects-- someone discovers some set of ad hoc trick

human cognition. Aaron Sloman's Cognition and Affect project has explored a space of architectures proposed as models for human minds; a sketch of Sloman's H-CogAff model is shown in figure 5. [FIGURE 5 OMITTED) This architecture appears to provide a framework for defining with greater precision than

tstanding charges in the state would put an appropriate end to the matter for everyone. EFTA00226776 r LAW 00 ICC,. Y. GERALD B. LEFCOURT. P.C. Jeffrey Sloman, Esq. Matthew Menchel, Esq. Andrew LS. A. Marie , Esq. The Unite!1Mttorney's Office Southern District of Florida July 6,2007 Page 23 Again,

words HEADLINE: The St. Thomas common sense symposium: designing architectures for human-level intelligence. BYLINE: Minsky, Marvin; Singh, Push; Sloman, Aaron BODY: To build a machine that has "common sense" was once a principal goal in the field of artificial intelligence. But most researchers in

itecture by starting with a useful application like a search engine or conversational agent, and extending its common sense abilities over time. But Ben Kuipers worried that choosing too specific an application would lead to what happened to most previous projects-- someone discovers some set of ad hoc trick

s a particularly clear embodiment of "modern common sense" regarding the overall architecture of the human mind. We have added only a couple items to Sloman’s high-level diagram, which we felt deserved an explicit high-level role that he did not give them: emotion, language and reinforcement. e The LIDA

e The LIDA architecture diagram presented by Stan Franklin and Bernard Baars [BF 09]. We think LIDA is an excellent model of working memory and what Sloman calls "reactive processes", with well-researched grounding in the psychology and neuroscience literature. We have adapted the LIDA diagram only very

er the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of s

The LIDA architecture diagram presented by Stan Franklin and Bernard Ikuirs [13F09J. We think LIDA is an excellent model of working memory and what Sloman calls "reactive processes", with well-researched grounding in the psychology and neuroscience literature. We have adapted the LIDA diagram only ver

a particularly clear embodiment of "modern common sense" regarding the overall architecture of the human mind. We have added only a couple items to Sloman's high-level diagram, which we felt deserved an explicit high-level role that he did not give them: emotion, language and reinforcement. • The LIDA

r the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of

words HEADLINE: The St. Thomas common sense symposium: designing architectures for human-level intelligence. BYLINE: Minsky, Marvin; Singh, Push; Sloman, Aaron BODY: To build a machine that has 'common sense" was once a principal goal in the field of artificial intelligence. But most researchers in

human cognition. Aaron Sloman's Cognition and Affect project has explored a space of architectures proposed as models for human minds; a sketch of Sloman's H-CogAff model is shown in figure 5. [FIGURE 5 OMITTED] This architecture appears to provide a framework for defining with greater precision than

itecture by starting with a useful application like a search engine or conversational agent, and extending its common sense abilities over time. But Ben Kuipers worried that choosing too specific an application would lead to what happened to most previous projects— someone discovers some set of ad hoc tricks