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Ursachi Răzvan

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Ursachi Răzvan

The technological singularity refers to a hypothetical scenario in which technological advances virtually explode. The most popular scenario is the creation of super-intelligent algorithms that recursively create ever higher intelligences. After a short introduction into this intriguing potential future, I will elaborate on what it could mean for intelligence to explode. In this course, I will (have to) provide a more careful treatment of what intelligence actually is, separate speed from intelligence explosion, compare what super-intelligent participants and classical human observers might experience and do, discuss immediate implications for the diversity and value of life, consider possible bounds on intelligence, and contemplate intelligences right at the singularity.

Can Intelligence Explode?

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The progression of theories suggested for our world, from ego- to geo- to helio-centric models to universe and multiverse theories and beyond, shows one tendency: The size of the described worlds increases, with humans being expelled from their center to ever more remote and random locations. If pushed too far, a potential theory of everything (ToE) is actually more a theory of nothing (ToN). Indeed such theories have already been developed. I show that including observer localization into such theories is necessary and su±cient to avoid this problem. Ockham's razor is used to develop a quantitative recipe to identify ToEs and distinguish them from ToNs and theories in-between. This precisely shows what the problem is with some recently suggested universal ToEs. The suggested principle is extended to more practical (partial, approximate, probabilistic, parametric) world models (rather than ToEs). Finally, I provide a justi¯cation of Ockham's razor.

Theories of Something, Everything & Nothing.

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Humans and many other intelligent systems (have to) learn from experience, build models of the environment from the acquired knowledge, and use these models for prediction. In philosophy this is called inductive inference, in statistics it is called estimation and prediction, and in computer science it is addressed by machine learning. I will first review unsuccessful attempts and unsuitable approaches towards a general theory of induction, including Popper’s falsificationism and denial of confirmation, frequentist statistics and much of statistical learning theory, subjective Bayesianism, Carnap’s confirmation theory, the data paradigm, eliminative induction, and deductive approaches. I will also debunk some other misguided views, such as the no-free-lunch myth and pluralism. I will then turn to Solomonoff’s formal, general, complete, and essentially unique theory of universal induction and prediction, rooted in algorithmic information theory and based on the philosophical and technical ideas of Ockham, Epicurus, Bayes, Turing, and Kolmogorov. This theory provably addresses most issues that have plagued other inductive approaches, and essentially constitutes a conceptual solution to the induction problem. Some theoretical guarantees, extensions to (re)active learning, practical approximations, applications, and experimental results are mentioned in passing, but they are not the focus of this talk. I will conclude with some general advice to philosophers and scientists interested in the foundations of induction.

Foundations of Induction

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Lecture 9 s.s.iii Design of Steel Structures - Faculty of Civil Engineering Iaşi

Alunecări de teren

Analysisanddesignofamulti storey staad pro.

Indicator Norme de Deviz - Technical University "Gh. Asachi" of Iaşi

Lecture 8 s.s.iii Steel Structures

Lecture 11 s.s.iii Design of Steel Structures - Faculty of Civil Engineering ...

Lecture 10 s.s.iii Design of Steel Structures - Faculty of Civil Engineering ...

Can Intelligence Explode?

Theories of Something, Everything & Nothing.

Foundations of Induction

My L&T Statement

Sam Session

1q05 performancemonitoring

Lecture 3 s.s. iii Design of Steel Structures - Faculty of Civil Engineering ...

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Lecture 2 s.s. iii continuare Design of Steel Structures - Faculty of Civil E...

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