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Gamorithm.

Moshe Sipper1, Jason H Moore2

  • 1Institute for Biomedical Informatics (IBI), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 and the Department of Computer Science, Ben-Gurion University, Beer-Sheva 8410501, Israel.

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Summary
This summary is machine-generated.

This study introduces gamorithms, novel algorithms inspired by and based on games. These innovative computational methods leverage game principles for enhanced problem-solving capabilities.

Keywords:
algorithmgame

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Area of Science:

  • Computer Science
  • Algorithm Design
  • Computational Theory

Background:

  • Traditional algorithms often lack engagement and adaptability.
  • Games offer complex, dynamic, and interactive environments.
  • There is a need for novel algorithmic approaches that harness game-like properties.

Purpose of the Study:

  • To introduce and define the concept of gamorithms.
  • To explore the potential of game-inspired and game-based algorithms.
  • To establish a new paradigm for algorithm development.

Main Methods:

  • Conceptual framework development for gamorithms.
  • Analysis of game mechanics for algorithmic application.
  • Literature review of game theory and algorithm design.

Main Results:

  • Formalized the definition of gamorithms.
  • Identified key game elements applicable to algorithm design.
  • Proposed a taxonomy of gamorithm types.

Conclusions:

  • Gamorithms represent a promising new direction in algorithm research.
  • This approach can lead to more efficient, adaptive, and engaging computational solutions.
  • Further research into gamorithm design and application is warranted.