Seeing the Hook through the Uncanny Valleys Encountered by an Enterprise

This blog describes the Time Molecules process for the analysis of adversarial situations. That includes frauds, competitive games such as Texas Hold'em Poker, and any other situation where imperfect information is the key asset. It lays out how Time Molecules pulls together Probability (conditional probability, machine learning), Logic (Prolog), Ontology (knowledge graphs), and Data (Time Molecules and a Semantic … Continue reading Seeing the Hook through the Uncanny Valleys Encountered by an Enterprise →

Reptile Intelligence: An AI Summer for CEP

Abstract Complex Event Processing (CEP) has long been dismissed as mere real-time infrastructure, yet it embodies the scalable, deterministic substrate that artificial intelligence has overlooked: a high-performance System 1 layer as described in Daniel Kahneman’s Thinking, Fast and Slow. System 1—fast, automatic, intuitive, massively parallel, and effortless—handles the overwhelming flood of sensory (or in enterprise … Continue reading Reptile Intelligence: An AI Summer for CEP →

Closer to Causation – Prolog in the LLM Era – Spring Break Special

Welcome to the Prolog in the LLM Era Spring Break Special! Starring ... decoupled recognition and action ... event streaming ... correlation doesn't imply causation ... and our special guest star ... Deductive Time Travel!!! Notes before diving in: Please see Part 1 in the series for background on Prolog if you're not familiar with … Continue reading Closer to Causation – Prolog in the LLM Era – Spring Break Special →