In his book “Evolving Strategies of Intelligence,” Dr. Gregory Stockman offers a simple yet powerful insight into how Intelligent Systems for Analytical Problem Solving can be applied to real life. He argues that most managers fail to recognize and appreciate the importance of recognizing the relationships among processes, events and relationships between processes, events and relationships. These relationships can be used to help determine whether or not an event is truly an intelligence, which in turn can help to identify and manage risks. This book has received several positive reviews, including “A primer for the intelligence of our systems,” by Thomas C. Weber and “Procedural Complexity and Intelligence,” by David A. Bell.
Stockman begins his book with a review of intelligence and its definition. He then offers an example of how the relationships among different processes can be used to identify intelligence. Using a manufacturing process as an example, he explains that the relationship between process A and process B is not always clear. However, when these two processes are combined, the result can be very insightful, allowing us to create more effective and reliable products.
Stockman goes on to describe the relationships that can be discovered by analyzing the relationships among processes, events and relationships among processes. After creating a diagram, he explains how this information can be used to better identify intelligence. A number of diagrams have been created by Stockman and others using these relationships, including one created by Richard Feynman called “The Structure of Scientific Revolutions.” For example, in this diagram, processes A, B and C are linked together in the hierarchy in such a way that, when all processes are considered, A is not necessarily the highest.
In addition to the diagram, he also provides information on what each process does and how it affects the relationships among processes, events and relationships among processes. In a later chapter, he explains why it is important to take into account relationships among processes. He illustrates this idea by explaining that a chemical reaction may have multiple steps and multiple reactions, even though only one of them results in a change in a physical property of an object. By making the assumption that all steps will result in a change in the property, it becomes possible to develop a diagram that will identify the process that is responsible for each change.
Stockman then describes how each step in a chemical reaction results in a change, and how each step affects the relationship among the other steps. He then compares these effects to the relationships between processes, events and relationships among processes to identify and how these steps may influence the other steps.
Stockman concludes his book with an example of how the relationships among processes can be used to identify and manage risks. Using a manufacturing process as an example, Stockman shows how analyzing the relationships among processes and events can help to identify and manage risks. This process analysis is done through statistical techniques which allow one to identify and measure relationships among processes and events.