By: Francois Aubin. Summary: Cognitive Engineering examines individual interactions and decision-making in technological contexts, emphasizing human reasoning dimensions like information processing, judgment, and problem-solving. This study highlights cognitive skills fundamental to reasoning, including pattern recognition, memory, abstract thinking, and logic, using Albert Einstein’s theories as exemplary applications. Cognitive Engineering:The aim is to automate and design better systems by focusing on understanding how individuals interact with technology and make decisions in complex systems. This field scrutinizes the ways in which people process information, make judgments, and tackle problems. The ultimate objective often revolves around enhancing human-machine interaction and refining decision-making processes in environments driven by technology. Human Reasoning:Human Reasoning is the process of drawing inferences or conclusions from established facts and premises. This ability ...

Summary: The most advanced machine learning can produce inaccurate results if the problem is not defined correctly. This is highlighted in the scheduling application for aviation companies. Pilots were unsatisfied due to the flawed algorithm. Introduction: Building schedules for large aviation companies can be a complex task that involving various factors: Seniority, regulations, individual preferences and routes for thousands of pilots and crew members.  It is crucial to integrate all the factors correctly to create a fair and efficient schedule that satisfies everyone. User experience review: The scheduling application was evaluated by conducting one-on-one interviews and observations with 20 pilots from five aviation companies: Delta, United, Air Transat, Air Canada.  The pilots found the application frustrating to use.  They felt ...

Summary: This article debunks the erroneous beliefs regarding the expertise of individuals in making decisions within open-loop systems and presents an approach to overcome their limitations. Open-loop systems don’t provide real-time feedback of the results.  This makes it difficult to adjust strategies effectively.  For instance, in real estate investments or marketing campaigns, the success or failure of a decision is not known for months or years, making it difficult to make informed decisions.  For example, human resource managers receive feedback on an employee’s performance after making the hiring decision . The lack of actual feedback in open-loop systems impairs the accumulation of experience.  Unlike close-loop systems, like driving a car, where numerous decisions are made with real-time feedback.  Open-loop systems ...

Discussions on how AI can improve human decision-making by providing accurate and up-to-date information and knowledge. Human Reasoning Reasoning is the process through which individuals use information and knowledge to make judgments, decisions and solve problems. However, it is surprising to hear people expressing opinions on topics for which they have limited information or knowledge. Questions about the Vietnam War, the JFK assassination, global warming or vaccines receive diverse responses from individuals. Further questioning will reveal that their knowledge on the subject is insignificant. For example, some people determine that climate warming is a natural phenomenon, not caused by human activities. They argue that there were cold and warm periods in the past, volcano emissions are more significant than human ...

Myths have played an important role in human history by providing moral guidance and creating a sense of identity and community. Myths can also be a cognitive limitation for humans and can lead to wrong decisions such as war. Why human believe in myths: They may lack access to accurate information or the skill to evaluate the information they have. They often apply their previous experiences and knowledge to new situations. They might reject information sources because they disagree with the ideology presented by those sources. Cognitive biases that make it difficult to question or challenge myths. For example, people may be more likely to accept information that confirms their existing beliefs and to reject information that contradicts them.  They ...