Epstein Secrets

Cardinal Direction Calculus IMAM], or using size [GR00) or shape ICoh95] information in RCC. Temporal Calculi The best known temporal calculus is Allen's Interval Algebra which considers 13 rela- tionships over time intervals, such as Before, During, Overlap, Meet, etc. For instance one EFTA0062441

N nodes are activated and exported to the OpenCog Atomspace • Recognition that a block is present is carried out, either by - PLN inference within OpenCog, drawing the conclusion that a block is present from the exported predicates, using ImplicationLinks comprising a working definition of a "block"

ning to bridge DeSTIN and PLN Ls intended to fit. This architecture is not yet fully implemented, but is a straightforward extension of the current OpenCog architecture for processing data from game worlds IGEA08], and is scheduled for implementation later in 2013 in the course of a funded project invo

HOE Higher-Order Inference • HOPLN: Higher-Order PLN • HR: Historical Repository (in a GOLEM context) • HTM: Hierarchical Temporal Memory • IA: (Allen) Interval Algebra (an algebra of temporal intervals) • IRC: Imitation / Reinforcement Correction (Learning) • LIFES: Learning-Integrated Feature S

his nature that can be effective in this context We have not yet done any sophisticated experiments in this regard - our current experiments using OpenCog to control robots involve cruder integration of OpenCog with perceptual and motor subsystems, rather than the tight hybridization described in Chapt

obabilistic evolutionary program learn- Mg is an effective method The probabilistic evolutionary program learning method we have worked with most in OpenCog is MOSES, and significant evidence has been gathered showing it to be dramatically more effective than genetic programming on relevant classes of p

interrelationships, based on a fuzzy version of Allen Interval Algebra. SequentialANDLink is similar t

us to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its personal thoughts into the mental language of another OpenCog instance. This translation process may be quite subtle, sin

representation, with an explicit (uncertain) logical aspect as well as an explicit subsymbolic aspect more analogous to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its persona

HOE Higher-Order Inference • HOPLN: Higher-Order PLN • HR: Historical Repository (in a GOLEM context) • HTM: Hierarchical Temporal Memory • IA: (Allen) Interval Algebra (an algebra of temporal intervals) • IRC: Imitation / Reinforcement Correction (Learning) • LIFES: Learning-Integrated Feature S

zed Terms • Abduction: A general form of inference that goes from data describing something to a hypothesis that accounts for the data. Often in an OpenCog context, this refers to the PLN abduction rule, a specific First-Order PLN rule (If A implies C, and B implies C, then maybe A is B), which embodie

bility. EFTA00624100 Appendix A Glossary A.1 List of Specialized Acronyms This includes acronyms that are commonly used in discussing CogPrime, OpenCog and related ideas, plus sonic that occur here and there in the text for relatively ephemeral reasons. • AA: Attention Allocation • ADF: Automatica

r interrelationships, based on a fuzzy version of Allen Interval Algebra. SequentialANDLink is similar t

us to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its personal thoughts into the mental language of another OpenCog instance. This translation process may be quite subtle, since

d representation, with an explicit (uncertain) logical aspect as well as an explicit subsymbolic aspect more analogous to attractor neural nets. The OpenCog design also contains a mechanism called Psynese (not yet implemented), in- tended to make it easier for one OpenCog instance to translate its persona

amming HOI: Higher-Order Inference HOPLN: Higher-Order PLN HR: Historical Repository (in a GOLEM context) HTM: Hierarchical Temporal Memory IA: (Allen) Interval Algebra (an algebra of temporal intervals) IRC: Imitation / Reinforcement / Correction (Learning) LIFES: Learning-Integrated Feature Sele

HOUSE_OVERSIGHT_013240 Appendix A Glossary A.1 List of Specialized Acronyms This includes acronyms that are commonly used in discussing CogPrime, OpenCog and related ideas, plus some that occur here and there in the text for relatively ephemeral reasons. AA: Attention Allocation ADF: Automatically De

alized Terms Abduction: A general form of inference that goes from data describing something to a hypothesis that accounts for the data. Often in an OpenCog context, this refers to the PLN abduction rule, a specific First-Order PLN rule (If A implies C, and B implies C, then maybe A is B), which embodies

Plenary Speakers for TSC Shanghai 2017 John J.B. Allen, University of Arizona Marom Bikson, City Colleg

gitalSpace Nai Ding, Zhejiang University Evalina Fedorenko, Harvard Medical School Ted Gibson, Massachusetts Institute of Technology Ben Goetzel, OpenCog, Hong Kong Stuart Hameroff, University of Arizona Li Hengwei, Zhejiang University Allan Houng, IPMC, National Yang Ming, Taipei City Nicholas Hum

tendees, including John McCarthy, Marvin Minsky, Allen Newell and Herbert Simon all became AI pioneers i

n Ethiopia Artificial Intelligence and information technology is actually thriving in Ethiopia thanks to an innovative Al group in Hong Kong called OpenCog and the funding of the Hong Kong government and the Jeffrey Epstein VI Foundation in New York. The recipient of funding was the Al lab in Sidist Kil