Epstein Secrets

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

ke sense to try to simplify things. But today, we are still far from an architectural design that explains even a tiny fraction of 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

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

s of memory critical for human-like cognition, and the need for tight, "synergetic" interactions between the cognitive processes focused on these • Aaron Sloman's high-level architecture diagram of human intelligence ISIO0 II, drawn from his CogAff architecture, which strikes me as a particularly clear embodim

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

ke sense to try to simplify things. But today, we are still far from an architectural design that explains even a tiny fraction of 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

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

ke sense to try to simplify things. But today, we are still far from an architectural design that explains even a tiny fraction of 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