Author Archives: Aarne

Managers Are Gamblers and Accountants Are Historians Robust action under uncertainty is recommendable. Yet, how are facts, beliefs, opinions, expectations and so forth similar and different and how to separate the essential from the unlikely to reach that set of Robust action alternatives and ultimately the plan and action? When someone in a product orContinue reading “Facts Are Hindsight. Roadmaps Are Beliefs.”

Companies – probably anyone – would like to make informed, robust decisions in the face of uncertainty that result in reasonable outcomes in all or most plausible future scenarios. In other words strategic, flexible measures that accomplish immediate goals while deliberately preserving long-term options. Jagged intelligence refers to the uneven performance of AI models. TheyContinue reading “Doubt, jagged intelligence and Robust Action”

The previous posts have been about architecture, system design, complexity, computational cost, and other technical and intrinsic matters about building autonomous systems. This installment focuses on the people, and what beliefs, assumptions, expectations could mean to enterprise employees. Their work, incentives, business success, and company performance under uncertainty is discussed. The result is an approximateContinue reading “Belief management for people”

Beliefs, assumptions, scenarios expectations, and other similar expressions refer to possible futures events with some scope, time, likelihood, and potential outcomes and results. A company’s World Model should be populated with such information. We call those beliefs, and propose that they are entered in a Belief Manager. This potential system component is outlined in theContinue reading “World Model is a set of Beliefs”

The previous post about autonomous systems discussed World Models in a narrow domain. My goal is to outline, understand and eventually build automated workflows in enterprise environments. The following discussion about Enterprise World Models, Belief Management and Robust Actions v.s. perfect foresight is the next conceptual step

I have spent time in figuring out how the general CMLS architecture would apply to workflows in an enterprise. To get to an understanding I ended doing intellectual – or at least mental – circles and spirals, and needed to start from basics. So here are a few pages of a students journey through enterpriseContinue reading “Thinking about World Models”

An essential part of the architecture for continuous machine learning are the trust relationships between components and participants of a system and with possible external parties – contributing actors. Content credentials https://contentcredentials.org/ attempts to address trust by placing a mark on content. This assumes that the recipient trusts the mark, and that the marks areContinue reading “Elements of Trust”

Ainolabs architecture for Continous Machine Learning Systems (CMLS) is designed to support non-interrupted operation, modular construction, system and data integrity, scalability in system design and operation and robust continuous operation. These capabilities result in a machine learning system that can meet requirements on privacy, confidentiality and adapt to changing circumstances. The blocks and the wholeContinue reading “Architecture for Continuous Machine Learning”