Corpus ID: 70313778

Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability (Texts in Theoretical Computer Science. An EATCS Series)

  title={Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability (Texts in Theoretical Computer Science. An EATCS Series)},
  author={Marcus Hutter},
A Measure of Real-Time Intelligence
It is shown that there exist agents with intelligence arbitrarily close to the theoretical maximum, and that the intelligence of agents depends on their parallel processing capability. Expand
Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response
On Defining Artificial Intelligence
  • Pei Wang
  • Computer Science
  • J. Artif. Gen. Intell.
  • 2019
This article systematically analyzes the problem of defining “artificial intelligence,” and establishes four criteria of a good working definition of a notion: being similar to its common usage, drawing a sharp boundary, leading to fruitful research, and as simple as possible. Expand
WILLIAM: A Monolithic Approach to AGI
W insult is able to solve a diverse set of tasks including the compression and prediction of simple sequences, recognition of geometric shapes, write code based on test cases, self-improve by solving some of its own problems and play tic-tac-toe when attached to AIXI and without being specifically programmed for it. Expand
Game Semantics and Linear Logic in the Cognition Process
A description of the environment cognition process by intelligent systems with a fixed set of system goals is suggested and may be useful to describe the behavior of robots and simple biological systems, e.g., ants. Expand
Artificial General Intelligence
It is argued that such tutoring methods that provide assistance in the learning process can be expected to have great benefits when properly applied to certain kinds of artificial systems. Expand
The Multi-slot Framework: A Formal Model for Multiple, Copiable AIs
A novel “multi-slot” framework for dealing with multiple intelligent agents, each of which can be duplicated or deleted at each step, in arbitrarily complex environments is introduced. Expand
Artificial General Intelligence and the Human Mental Model
When the first artificial general intelligences are built, they may improve themselves to far-above-human levels. Speculations about such future entities are already affected by anthropomorphic bias,Expand
Space-Time Embedded Intelligence
This paper presents the first formal measure of intelligence for agents fully embedded within their environment that merges and goes beyond Legg's and Russell's, leading to a new, more realistic definition of artificial intelligence that is called Space-Time Embedded Intelligence. Expand
Learning What to Value
I. J. Good's intelligence explosion theory predicts that ultraintelligent agents will undergo a process of repeated self-improvement; in the wake of such an event, how well our values are fulfilledExpand