Carson Scott

Online-Category-Learning. ML algorithm for real-time classification

HSOM. Hierarchical self-organizing maps for unsupervised pattern recognition

Prediction-Template-Learning. Online machine learning algorithm that makes predictions about the environment to improve itself.

Knowledge-Discovery-Agents. A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems

OpenAgent. An agent library for systems of nested automata.

Online-Relationship-Learning. Unsupervised ML algorithm for predictive modeling and time-series analysis

Competitive-Feature-Learning. Online feature-extraction and classification algorithm that learns representations of input patterns.

CALM. Conditional Associative Logic Memory

self-organizing-predictions. In which prediction agents organize themselves through competition.

easydata. A simple and lightweight database library in python.

Automated-Logical-Systems. Distributed constraint satisfaction with recursive message-passing agents

ai-web-development. A high-level description of a machine learning algorithm that learns to write HTML and CSS code.

Dual-Process-Reinforcement. An intelligent agent that adaptively changes its thought processes to maximize cumulative reward

emergent-unsupervised-learning. In which unsupervised learning emerges from spatial-temporal properties of neurons.

expresol. Library for executing customizable script-languages in python

Adaptive-Template-Model. Adaptive Template Model of Intelligence

Foundations-of-Knowledge. A metaphysical theory of knowledge based on patterns of change.

continuous-spiking-neural-network. Python

abstract-neural-systems. A theoretical framework for systems with mathematical neural-esque properties.

Dual-Coding-Agents. A Dual-Coding Architecture for Intelligent Social Agents.

onlinestats. An online machine-learning library for creating robust statistical models of streaming data

python-topology. An easy-to-use module for dealing with topological data in python.

Semantic-Knowledge-Representation. A graph library that models semantic information.

iaf_network. An integrate-and-fire neural network for intelligent agents

HTM. An implementation of Numenta's Hierarchical Temporal Memory in python.

AI-Blog-Posts. A curated list of blog posts about AI and AI related topics that I've written over the past couple years

Analogy-Detection-Agents. Multi-Agent system for analogous pattern detection

TLearner. Learning algorithm for Prediction Template Learning

Q-Learning. Reinforcement learning in C++ with the Q-Learning algorithm.

MindToWeb. A place to post ideas, partial projects, or anything else that doesn't necessarily warrant its own repo, from my mind to the web.

Evolutionary-Logic-Learning. A machine-learning algorithm that learns other algorithms

L-System-Grammar. A class for creating and implementing L-system grammars in python

LogiCon. Hierarchical constraint learning for logical pattern recognition

Intelligent-Agents. C++

NetLib. A lightweight network library for quick prototyping

particle-collision. A demonstration of rigid-body collision mechanics in python.

Dynamic-Evolving-Memory. A self-generating memory system that treats code as data.

Creative-Logic-Agent. Python

Creative-Logic-Architecture.

CTS. Constraint-based Logical Type Systems

Intelligent-Memory-Systems. Python

Intelligent-Logical-Framing. An approach to logical cognition and rationality in artificial intelligence

conways-game-of-life. Conway's Game of Life in C++

Linguistic-Agent-System. a theoretical multi-agent model that specializes in linguistic comprehension and language production.

Network. C++