1 / 11

Working toward pragmatic convergence: AGI Roadmap and a Unified Roadmap

Working toward pragmatic convergence: AGI Roadmap and a Unified Roadmap. Itamar Arel , Machine Intelligence Lab (http://mil.engr.utk.edu) The University of Tennessee. Reality Check. Despite 60 years of hard work  no AGI Funding situation is dire Reputation is poor

yuki
Download Presentation

Working toward pragmatic convergence: AGI Roadmap and a Unified Roadmap

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Working toward pragmatic convergence: AGI Roadmap and a Unified Roadmap ItamarArel, Machine Intelligence Lab (http://mil.engr.utk.edu) The University of Tennessee

  2. Reality Check • Despite 60 years of hard work  no AGI • Funding situation is dire • Reputation is poor • Bad news: things seem to continue along the same trajectory

  3. Can convergence happen? • AGI researchers diverge on disparate trajectories • No consensus on what AGI really is • Claim: we need a unified view of overarching goals • Proposition: an initial framework to facilitate consensus of short-term research focus

  4. The case for AGI Axioms • Def: core functional attributes without which an AGI system cannot be considered one • Necessary but not sufficient set • Advantages • Help unify terminology • Promote an eventual roadmap • Discard non-AGI propositions

  5. Axiom #1: Observability • AGI system must have the ability to continuously receive observations from its environment • Appears obvious, but critical • The particular nature of observations irrelevant • May be partial with respect to environment state

  6. Axiom #2: Actuation Capability • Ability to impact environment in some desired manner • Without this – no control loop – no AGI • “Thinking” by itself is insufficient • Implies physical actuators (or virtual ones)

  7. Axiom #3: Process High-Dimensional Data • Mammal brains concurrently exposed to high-dimensional sensory information • A system with limitation on that is not AGI • Typically multi-modal sensory information • Sensory data fusion will take place

  8. Axiom #4: Capturing Spatiotemporal Dependencies • Core human brain capability • Representing wide time scale is critical • Anticipating events as consequence of other events • Tied to pattern recognition

  9. Axiom #5: Utility Function • Existence of functional goal • Drives action selection • Not necessary reinforcement learning like • Intrinsic feedback in addition to external • Credit assignment problem – “strategic thinking”

  10. Avoiding the 10 IQ Fallacy • AGI is hard to demonstrate on small-scale problems • Narrow “AI” can always step in (sometimes do better) • Axioms should reflect “true” AGI attributes • … more during the AGI Roadmap discussion

  11. Thank you

More Related