1 / 20

AI and Human Immortality

AI and Human Immortality. Ben Goertzel. Mind and Pattern. Minds are systems that recognize and create patterns in the world, in themselves, and in each other Narrow AI systems are highly restricted in the types of patterns they can recognize/create

cicada
Download Presentation

AI and Human Immortality

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. AI and Human Immortality Ben Goertzel

  2. Mind and Pattern Minds are systems that recognize and create patterns in the world, in themselves, and in each other Narrow AI systems are highly restricted in the types of patterns they can recognize/create Totally general intelligence is only possible given infinite computational/physical resources Pragmatic Artificial-General-Intelligence Systems may possess the capacity to continually expand the scope of patterns they can deal with

  3. go.biomind.com Extending the Gene Ontology

  4. Understanding the Mechanisms of Parkinson’s Disease

  5. Understanding the Mechanisms of Parkinson’s Disease

  6. Understanding the Differences Between Old and Young Brains

  7. Input: Sentence from PubMed abstract • “Thus, mutation of the c-kit gene may be a good prognostic marker of GISTs.” • 2. Parse path from "c-kit" to "GISTs". • _subj-n(c-kit, gene) • of(mutation, gene) • _subj(may, mutation) • _to-do(may, be) • _obj(be, marker) • of(marker, GISTs) Information Extraction from Biomedical Text 3. Syntax-to-semantics mapping: example transformation rule… Context PubMed ForAll X Implication _subj(may,X) TruthValueOf(X,.7) 4. Output: Logical Relations Suitable for Reasoning m_4 = marker(mutation(gene_77), GISTs)<.7> Inheritance gene_77 c-kit Inheritance m_4 marker

  8. Novamente Architecture:High-Level View

  9. Architecture of a Novamente Lobe • MindAgents are based on • Probabilistic Term Logic • Evolutionary Procedure Learning • Frequent Itemset Mining • Stochastic Local Search • Example MindAgents: • First-order probabilistic inference • Procedure Learning • Probabilistic Attention Allocation • Procedure and Predicate Evaluation • …

  10. Stages of Cognitive Development • Infantile • Instinct • Imitation • Word-Object Association • Object Permanence • Pre-Operational • Simple syntax • Systematic word-object associations • Single-parameter object classifications • Concrete Operational • Conservation Laws • Theory of Mind • Complex object classifications • Advanced syntax • Formal • Abstract deductive reasoning • Scientific testing of hypotheses

  11. Novamente Project Goals • Artificial Child • Artificial Scientist, focused on • Human biology • Mathematics • Artificial Intelligence • Ethics • Self-Modifying, Ethical Artificial Scientist • Singularity!

  12. Useful(?) Illusions FREE WILL Are our ‘reasons’ for our actions causes, or just after-the-fact rationalizations? CONTINUITY OF CONSCIOUSNESS “Was that really ‘me’ yesterday? 5 seconds ago? 30 years ago?” SPECIALNESS OF HUMAN CONSCIOUSNESS Do we humans really have some ‘spark of awareness’ not possessed by other pattern-systems, other decohered physical systems?

  13. Novamente: Cassio Pennachin Ari Heljakka Moshe Looks Andre Senna Izabela Goertzel Welter Silva Michael Ross Hugo Pinto Rodrigo Barra Matt Ikle’ Biomind: Cassio Pennachin Lucio Coelho Murilo Queiroz Francisco Prosdocimi Welter Silva Francisco Lobo Kenji Shikida Credits • BioLiterate: • Cassio Pennachin • Hugo Pinto • Renato Dias • Bruce Klein

More Related