Mathematical Foundations of Knowledge

Overview As intelligent beings, we’re able to interpret constraints that effect our understanding of the spatial, temporal, social, political, and economic world that we inhabit. Our intuitive realization of boundaries, I argue, stems from the built-in neurological mechanism of classification and pattern recognition. In order to frame experiences in a meaningful way, there must be … Continue reading Mathematical Foundations of Knowledge


Adaptive Template Model of Intelligence

Click to see this project on GitHub 1. Introduction 1.1) Problem Overview Traditionally, template-matching algorithms have been used for things like digital image processing and visual pattern recognition. There are typically sets of small, two-dimensional filters that are moved across a gray-scale image in order to detect instances of low-level visual patterns. Pattern recognition via … Continue reading Adaptive Template Model of Intelligence

Linguistic Development and Constructed Meaning

The following is an explanation of the various forms of information, as well their applications, within this system. Classes Data is passed through sensors and stored in an input vector, where local contrast is measured over space to extract feature vectors. Spatial patterns, called objects, are detected as relationships between features over space, while temporal … Continue reading Linguistic Development and Constructed Meaning

Emergence of Linguistic Capacity in Evolving Multi-Agent Systems

The following paper describes a theoretical model of language acquisition, comprehension, and production using a distributed multi-agent system. The system is composed of a society of agents who communicate by sending and receiving phonological signals across a social network. Every individual agent contains an internal system of subagents that are specialized to each perform a … Continue reading Emergence of Linguistic Capacity in Evolving Multi-Agent Systems