Have you ever wondered about the functioning of AI in different forms by using Mechanical, Thinking, and Feeling intelligence? A machine is known as an intelligent machine by its ability to learn from massive data in a huge amount such as big data and thereby the thoughts or actions can be updated. But can we say computer or cellphone to be AI, even though they are the most important part of our daily activities and an important aspect to be ingrained in our official or corporate matters and provides the same function in product life but cannot learn or update from data?
Mechanical intelligence means to perform repetitive or mechanical tasks with a limited amount of learning or adaptation. The consistency in output, standardization, reliability, and precision is often important for designing AI and one example is Factory automation.
Thinking intelligence for rationally analyzing and making decisions that are involved in learning or adapting systematically from data autonomously and one example is an autonomous car where various sensor data are used to adjust the car and driving conditions automatically depending on various data input. An area of rapid development in AI is intuitive thinking.
Feeling intelligence is used for recognizing, emulating, and appropriately responding to human emotions where AI learns and adapts as per their understanding and experience such as characterizing the data contextual in response to non-contextual data. Examples of such AI are chatbots, e.g., Alexa and Siri where natural language processing is used to process or analyze the natural language data.
In my opinion, the differentiating group in AI provides a path to categorize the product in a more optimized technical group where the developers or stakeholders can invest their time or money in analyzing the end-user of the products and what group are they aiming resulting into having a product more robust or more consumer-oriented. The intelligence differentiation shows how companies or industries can be grouped into three different parts and provides an opportunity to master a particular domain and can generate a more skill-oriented job in that field. It also provides an opportunity to have an ecosystem of different industries with different specialization and supporting each other with their technical expertise.
Source:- The feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI) by Ming-Hui Huang and et al.