#behavior #exploration #knowledge #psychology #curiosity

character-traits-curiosity-and-knowledge-seeking

A Rust library for modeling and analyzing traits of curiosity and knowledge-seeking behavior. Provides structured representation of curiosity facets.

1 unstable release

Uses new Rust 2024

0.1.0 Jul 13, 2025

#7 in #psychology


Used in character-traits

MIT and GPL-3.0-only

54KB
778 lines

Character Traits: Curiosity and Knowledge Seeking

character-traits-curiosity-and-knowledge-seeking is a Rust library designed to classify and analyze patterns of curiosity and intellectual exploration. The crate encapsulates complex traits and behaviors associated with curiosity, enabling structured representation and manipulation.

Features

  • Enum Definitions: Detailed enums representing various facets of curiosity such as CuriosityAndKnowledgeSeeking, CuriosityDomain, CuriosityBehaviour, and CuriosityModifier.
  • Macros for Intrinsic Ratings: Use smart macros to quantify dimensions of curiosity traits regarding tangibility, human centricity, scope, applicability, and more.
  • Builder Pattern: Strong builder patterns for composing detailed CuriosityFacet objects.
  • Legacy Compatibility: Tools to convert legacy curiosity descriptors into new structured forms without information loss.

Usage

Include the crate in your Cargo.toml:

[dependencies]
character-traits-curiosity-and-knowledge-seeking = "0.1.0"

Below is an example of how to utilize this crate to build curiosity facets:

use character_traits_curiosity_and_knowledge_seeking::{CuriosityFacet, CuriosityAndKnowledgeSeeking};

let descriptor = CuriosityAndKnowledgeSeeking::ActivelyExploresScienceAndPhilosophy;
let facet = facet_from_legacy(&descriptor);
println!("Curiosity Facet: {:?}", facet);

Background

This library operates at the intersection of behavioral psychology and technology, embracing a rigorous methodology to quantify curiosity. Leveraging principles from cognitive science, it facilitates structured analysis of behavioral traits that advance intellectual and cultural knowledge.

Vision

Efficiently understand and catalog human intellectual endeavors and curiosity-driven behaviors, unlocking implications for AI systems and philosophical inquiry.


Note: This README.md file is generated by an AI model and may not be 100% accurate; however, it should be quite comprehensive.

Dependencies

~48–91MB
~1.5M SLoC