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  • models - What is the relevance of AIXI on current artificial . . .
    The first question is "is AIXI really a big deal in artificial general intelligence research?" The question strictly asks about the importance of AIXI in AGI research, it does not ask about if you think other specific tools are better for the corresponding tasks instead of narrowing approximations of AGI models to the same specific tasks
  • agi - How widely accepted is the definition of intelligence by Marcus . . .
    The formal, "top-down" definition of (Ideal, External) provided by Hutter is called AIXI, which is the unification of ideal science (Algorithmic Information Theory aka AIT) with ideal technology (Sequential Decision Theory aka SDT)
  • Newest aixi Questions - Artificial Intelligence Stack Exchange
    AIXI is a mathematical framework for artificial general intelligence developed by Marcus Hutter since the year 2000 It's based on many concepts, such as reinforcement learning, Bayesian statistics,
  • reference request - Artificial Intelligence Stack Exchange
    In short, if you're interested in AGI algorithms and models, look into AIXI, Godel machines, Numenta's work, cognitive architectures (like SOAR or OpenCog), in addition to the more traditional ML approaches, like RL I also recommend that you read the paper Artificial General Intelligence: Concept, State of the Art, and Future Prospects
  • agi - Can transformers of sufficiently large size reach general . . .
    The term "agentic" in AI is being used very vaguely nowadays A human is the best example of an agent, as defined by Norvig and Russell, which is also applicable to AIXI Even other animals are better examples of agents that what people nowadays like to call "agentic AI" You start this post with the opposite premise, which is a good recipe for failure People like to reinvent definitions
  • Which AGI systems have already been implemented and tested?
    There are also theoretical frameworks for AGI, such as AIXI, which, in any case, have several flaws, such as incomputability (in the case of AIXI) There are approximations of AIXI, but these approximations can only be used to solve toy problems (such as tic-tac-toe), so they aren't really useful to solve complex real-world problems
  • What are the mathematical prerequisites to be able to study artificial . . .
    logic discrete mathematics calculus optimization linear algebra probability theory theory of computation (this will definitely be needed if e g you want to learn about AIXI, but you will also need a nice dose of measure theory and algorithmic information theory to understand all the mathematical details of the theory)
  • What other kind of AIs exist apart from goal-driven?
    Goal-driven AIs is the only kind of AI I am aware of However, Marcus Hutter claims the following Most, if not all known facets of intelligence can be formulated as goal driven or, more generally
  • python - Langchain agent state preservation - Artificial Intelligence . . .
    I've been trying to create my first agent using Langchain I would like some way to store user details, what questions they may be asking etc to be able to effectively govern how the LLM responds
  • Does Gödel’s Incompleteness Theorem have implications for AI learning . . .
    The Gödel machine is often compared with Marcus Hutter's AIXI, another formal specification for an artificial general intelligence Schmidhuber points out that the Gödel machine could start out by implementing AIXItl as its initial sub-program, and self-modify after it finds proof that another algorithm for its search code will be better





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