Módulo 4. Gestión del conocimiento #GestióndelaInnovación
Summary
The video discusses the definition of knowledge as information acquired through experience, education, and understanding, exploring how knowledge is managed through ancestral learning and skills transmission. It explains knowledge management as the generation of easily usable knowledge, touching on types such as tacit and articulable knowledge. The history of knowledge management is explored, dating back to the 1960s with the development of expert systems like Prospector for simulating expert knowledge in decision-making processes, particularly in industries like banking for risk management. The encoding of knowledge in expert systems through inference rules and engines is also explained.
Concept of Knowledge
Definition of knowledge as facts or information acquired through experience, education, or understanding. Exploring the management of knowledge through ancestral learning and the transmission of skills and habits from one generation to another.
Knowledge Management
Explanation of knowledge management involving the generation of knowledge by humans in a form that can be easily used by others. Types of knowledge discussed include tacit or implicit knowledge and articulable knowledge that can be codified, stored, and shared.
Modern History of Knowledge Management
Overview of the history of knowledge management, dating back to the 1960s when scientists and mathematicians worked on simulating decision-making processes of human experts in industries such as raw materials. Introduction of expert systems like Prospector in 1977 to simulate expert knowledge in specific fields.
Expert Systems in Practice
Application of expert systems in real-world scenarios like banking, where programs simulate risk management processes to make decisions based on codified knowledge. Description of the encoding of knowledge in expert systems through rules of inference and the use of inference engines to navigate and draw conclusions from known data.
FAQ
Q: What is knowledge?
A: Knowledge is defined as facts or information acquired through experience, education, or understanding.
Q: How is knowledge managed through ancestral learning?
A: Knowledge is managed through ancestral learning by transmitting skills and habits from one generation to another.
Q: What is tacit knowledge?
A: Tacit knowledge refers to implicit knowledge that is not easily articulated but plays a significant role in decision-making and problem-solving.
Q: What is articulable knowledge?
A: Articulable knowledge is knowledge that can be codified, stored, and shared in a form that is easily understood and utilized by others.
Q: What is the history of knowledge management?
A: The history of knowledge management dates back to the 1960s when scientists and mathematicians began simulating decision-making processes of human experts, especially in industries dealing with raw materials.
Q: What is an expert system like Prospector?
A: An expert system like Prospector was introduced in 1977 to simulate expert knowledge in specific fields and assist in decision-making processes.
Q: How are expert systems applied in real-world scenarios like banking?
A: Expert systems are applied in real-world scenarios like banking to simulate risk management processes and make decisions based on codified knowledge.
Q: How is knowledge encoded in expert systems?
A: Knowledge is encoded in expert systems through rules of inference and the use of inference engines to navigate and draw conclusions from known data.
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