Abstract: This article explores game terrain generation technology based on noise algorithms. Specifically, it analyzes the fundamental principles of Perlin noise, Simplex noise, Value noise, and ...

Abstract: This paper proposes an evolutionary algorithm-based automatic generation method for evaluation prompts. By constructing a structured prompt encoding model, multi-dimensional fitness function ...

SDG-PGMs is a Python framework for building Probabilistic Graphical Models (PGMs) that generate synthetic data with realistic, statistically-grounded relationships between attributes. It extends pgmpy ...

People often ask: How can we get the younger generation involved? How do we break through the nihilism that they are experiencing? What can we do? My answer is simple, but it’s not one that comes ...