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Classifying Matter by State02:49

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Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
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Matter: Pure Substances and Mixtures
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The earliest recorded discussion of the basic structure of matter comes from ancient Greek philosophers. Leucippus and Democritus argued that all matter was composed of small, finite particles that they called atomos, meaning “indivisible.” Later, Aristotle and others came to the conclusion that matter consisted of various combinations of the four “elements” — fire, earth, air, and water — and could be infinitely divided. Interestingly, these philosophers...
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Why Open-Endedness Matters.

Kenneth O Stanley1

  • 1Uber AI Labs. kstanley@uber.com.

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Summary
This summary is machine-generated.

This essay explores the motivations and opportunities for investigating open-endedness, a computational process inspired by natural evolution. It argues for its significance as a major challenge alongside artificial intelligence.

Keywords:
Open-endednessartificial intelligencemachine learningnovelty searchopen-ended algorithmsopen-ended evolutionquality diversity

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Area of Science:

  • Computational theory
  • Artificial intelligence
  • Evolutionary computation

Background:

  • Nature exhibits remarkable open-ended evolutionary accomplishments.
  • Replicating such processes computationally presents profound implications.

Purpose of the Study:

  • To explore motivations for investigating computational open-endedness.
  • To highlight opportunities presented by this research area.
  • To position open-endedness as a key computational challenge.

Main Methods:

  • Conceptual analysis of evolutionary processes.
  • Discussion of milestones in computational open-endedness research.
  • Focus on the challenge of formalizing open-endedness algorithmically.

Main Results:

  • Articulates the significance of open-endedness as a research pursuit.
  • Identifies open-endedness as a grand computational challenge.
  • Highlights the potential for novel computational opportunities.

Conclusions:

  • Open-endedness warrants recognition as a primary computational challenge, comparable to artificial intelligence.
  • Formalizing open-endedness as an algorithmic process is a critical future direction.