Deep neural networks have enabled a new generation of flexible machine learning models. These new models can solve tough problems and perform moral and ethical evaluations. On their own, these models can employ reasoning and logic, but they have no long-term memory, and no organization. The models need structure, a framework to handle memory, tasks, and organization.
Enter the Natural Language Cognitive Architecture. Natural language, spoken and written by all humans, is the primary way that we teach each other and learn. Cognitive architectures give form to artificial minds, and the Natural Language Cognitive Architecture gives structure to deep neural networks. This book provides a high level blueprint for AGI as well as a deep dive into the components and theory of general intelligence.
David Shapiro spent more than a decade studying cognition and performed hundreds of experiments with deep neural networks to develop his Natural Language Cognitive Architecture. New technologies, such as AGI, must be democratized. Everyone will be impacted by AGI, so everyone should have a stake in the discussion. Dangers abound with powerful advancements in technology, and David lays out his vision to deploy AGI with integrated guiding principles that he calls the Core Objective Functions. This architecture addresses learning, creation, the control problem, and outer alignment.
This book will walk you through the logic of building your own AGI step by step, component by component. The future lay before us, will you participate in its creation?
