Abstract
The chapter intends to be a theoretical contribution for developers in the field of artificial intelligence. It also means a practical guideline for leaders, as decision-makers, to manage tasks and optimize performance. The proposed approach interprets the fluid nature of the decision-making process looking at knowledge and knowledge activities as dynamic, adaptive, and self-regulative, based not only on well-known explicit curricular goals but also on unpredictable interactions and relationships between players. The knowledge process is emerging in human and biological, social, and cultural environments.
TopIntroduction
How Artificial Intelligence technology is processing has its roots in the mechanism by which our cognitive process works. The core is “what do we mean with Intelligence?” The two classical definitions of Intelligence are:
In reality, everything we do, no matter how simple it seems to us, is the result of the extraordinary assembly of billions of brain cells.
It seems natural to us to go back to our childhood memories, as well as to live the fantasies of our dreams or be aware of colors and sounds existing in the world.
Imagine carrying billions of stars inside our head, calling them neurons and connecting them together you will have the exact representation of our brain.
From the action of all those stars, everything (that characterizes us as human beings) is born, who we are, how we act, why we fall in love, our consciousness, our thoughts, basically what we call mind.
The hard problem, is right here, in this leap from atoms to thought, from neurotransmitters to consciousness. This is what allowed man to think about the precision of the laws of physics, to produce the emotions of Bach music or the extraordinary beauty of a Raphael painting, or to rise to the idea of the existence of God.
Today there is a lot of speculation about a possible future in which humanity will be overtaken or even destroyed by machines. There are cars that drive themselves, of big data, and even transhumanism, the idea that it will be possible download our experience and awareness to a computer and live forever.
Key Terms in this Chapter
Middle Management: In organizations, a team of managers, responsible for implementing the leader policy.
Computational Thinking (CT): A problem-solving process that includes a number of characteristics and dispositions. CT is essential to the development of computer applications, but it can also be used to support problem solving across all disciplines, including the humanities, math, and science.
Emotional Intelligence: Personal emotional intelligence is the ability to manage oneself, own inner environment, autonomy, self-critique, assumption of responsibility (internal ecology); social emotional intelligence is the ability to manage relationships, the external social environment (external ecology).
DHE: Concentrates on creating powerful states and mental tools so a person naturally moves in the direction they want to go. DHE training consists of learning to create sounds, sights, and internal experience in a way that naturally propels you to be the kind of person you want to be.
PENTHA Model: Is an instructional/knowledge design model focused on designing the KM environment, defining the (didactical) rules for an intelligent tutoring system, facilitating person’s change and enhancement.
Leadership: Is the process of enlisting and guiding the talents and energies of educational community toward achieving common educational aims.
Orientism: Is a new multi-dimensional KM approach to improve the people’s ability to manage decisions and own change of perspective, according to natural, social, artificial environments, in personalized multi-user dynamic, assigned value to multiple reference points and multi-interpreting paradigms.