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to box occupancy densities they are likely to occur ( Adler et al, 1964; Alexeev and
document IMAGES-002-HOUSE_OVERSIGHT_013742.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

to box occupancy densities they are likely to occur ( Adler et al, 1964; Alexeev and Jacobson, 1981; Cornfield et al, 1982; Ornstein, 1989; Ruelle, 1990). The close relationships in real brain observables between the appearance rate of new symbols or new unstable periodic orbits...

14.4 Implications of Patternist Philosophy for Derived Hypergraphs of Intelligent Systems 277
document IMAGES-002-HOUSE_OVERSIGHT_013193.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

14.4 Implications of Patternist Philosophy for Derived Hypergraphs of Intelligent Systems 277 CogPrime’s cognitive algorithms based on the explicitly existent Nodes and Links related to the Frag Node. This halo of Atoms related to the Frag node is called the Irag map. In genera...

learning system can be trained to follow strategies that produce those outcomes. Wiener
document IMAGES-003-HOUSE_OVERSIGHT_016313.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

learning system can be trained to follow strategies that produce those outcomes. Wiener hinted at this idea in the 1950s, but the intervening decades have developed it into a fine art. Modern machine-learning systems can find extremely effective strategies for playing computer ga...

TO: Paul Brazil, Director of Public Works
email IMAGES-004-HOUSE_OVERSIGHT_016667.txt Jan 22, 2009 House Oversight Committee — Epstein Estate Records (Nov 2025)

TRS pe ; TOWN OF PALM BEACH MEMORANDUM TO: Paul Brazil, Director of Public Works FROM: James M. Bowser, Town Engineer HD RE: Private Irrigation Water Supply Systems DATE: January 22, 2009 Town staff was asked to look into what it would cost for a "typical" Palm Beach homeowne...

1.4 The Secret Sauce 3
document IMAGES-002-HOUSE_OVERSIGHT_012919.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

1.4 The Secret Sauce 3 1.3 CogPrime The AGI design presented here has not previously been granted a name independently of its particular software implementations, but for the purposes of this book it needs one, so we’ve christened it CogPrime . This fits with the name “OpenCogP...

artificial intelligence, systems of
document IMAGES-006-HOUSE_OVERSIGHT_022130.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

'‘ATTERSON _ artificial intelligence, systems of J other topics. get-togethers like this for years. 's investigation, in March of 2006, shysicists—including three Nobel brity physicist Stephen Hawking — m called “Confronting Gravity,” PS 1 CHAPTER 61 rorkshop to explore...

In essence this is a list of claims such that, if the reader accepts these claims, they should
document IMAGES-002-HOUSE_OVERSIGHT_012930.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

14 1 Introduction In essence this is a list of claims such that, if the reader accepts these claims, they should probably accept that the CogPrime approach to AGI is a viable one. On the other hand if the reader rejects one or more of these claims, they may find one or more aspe...

Origins February 24 — 26, 2017
document IMAGES-001-HOUSE_OVERSIGHT_011298.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

Origins February 24 — 26, 2017 PROJECT An Origins Project Scientific Workshop ARIZONA STATE UNIVERSITY Challenges of Artificial Intelligence: Envisioning and Addressing Adverse Outcomes 5) Al, GOALS, AND INADVERTENT SIDE EFFECTS Runaway Resource Monopoly (focus) Self-improvemen...

12.6 The Ethical Treatment of AGIs 229
document IMAGES-002-HOUSE_OVERSIGHT_013145.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

12.6 The Ethical Treatment of AGIs 229 While the issue is subtle, our initial feeling is that the only ethical means by which to deprive an AGI of the right to internal self modification is to write its code in such a way that it is impossible for it to do so because it lacks th...

Tom Griffiths is Henry R. Luce Professor of Information, Technology, Consciousness
document IMAGES-003-HOUSE_OVERSIGHT_016312.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

THE ARTIFICIAL USE OF HUMAN BEINGS Tom Griffiths Tom Griffiths is Henry R. Luce Professor of Information, Technology, Consciousness, and Culture at Princeton University. He is co-author (with Brian Christian) of Algorithms to Live By. When you ask people to imagine a world that...

learning system can be trained to follow strategies that produce those outcomes. Wiener
document IMAGES-004-HOUSE_OVERSIGHT_016896.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

learning system can be trained to follow strategies that produce those outcomes. Wiener hinted at this idea in the 1950s, but the intervening decades have developed it into a fine art. Modern machine-learning systems can find extremely effective strategies for playing computer ga...

BREAKING DOWN DEMOCRACY: Goals, Strategies, and Methods of Modern Authoritarians
document IMAGES-005-HOUSE_OVERSIGHT_019242.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

BREAKING DOWN DEMOCRACY: Goals, Strategies, and Methods of Modern Authoritarians give the authorities wide discretion in applying them to regime opponents. Such measures are typically paired with a court system that uses law merely to justify political instructions from the ex-...

Re: Your Special Day
email TEXT-001-HOUSE_OVERSIGHT_025185.txt Jan 20, 2017 House Oversight Committee — Epstein Estate Records (Nov 2025)

From: jeffrey E. [[email protected]] Sent: 1/20/2017 1:04:00 PM To: David Grosof Subject: Re: Your Special Day Importance: High god - so he does play, just not with fair dice On Fri, Jan 20, 2017 at 7:44 AM, David Grosof -(1=1> wrote: Is there something for central tendency t...

Origins February 24 — 26, 2017
document IMAGES-003-HOUSE_OVERSIGHT_014698.txt House Oversight Committee — Epstein Estate Records (Nov 2025)

Origins February 24 — 26, 2017 PROJECT An Origins Project Scientific Workshop ARIZONA STATE UNIVERSITY Challenges of Artificial Intelligence: Envisioning and Addressing Adverse Outcomes 1) FINANCIAL MARKETS Al, Trading Systems, and Market Manipulation (Incorporating contributi...