Thinking about methodologies for agentic artificially intelligent agents to autonomously formulate and solve combinatorial problems, specifically binary modeling, for inference and decision making.
Lexical simplification focuses on replacing complex words with simpler, more common alternatives without changing the meaning (ar5iv.org). For...
Introduction As artificial intelligence continues to advance, models like Latent Program Networks (LPNs), Large Language Models (LLMs), and hybrid AI...
Introduction One of the most debated aspects of artificial intelligence (AI) is creativity—the ability to generate novel, original, and meaningful...
Introduction While the Latent Program Network (LPN) presents a powerful new approach to program synthesis and reasoning, scaling it to larger, more...
Introduction Training the Latent Program Network (LPN) effectively requires more than just learning a mapping from input-output examples to a latent...
What Is Concept-Based Tokenization? Concept-based tokenization segments text into linguistically meaningful units – typically a root concept (the core...