Intelligent systems for human resources.

Area of Science:

• Computer Science
• Artificial Intelligence
• Human-Computer Interaction

Background:

• Intelligent systems possess domain knowledge and decision-making capabilities.
• Effective human interaction, teaching, and complex information processing are key features.
• Intelligent Tutoring Systems (ITSs) and Expert Systems are prominent examples.

Purpose of the Study:

• To explore the functionalities and impact of intelligent systems.
• To differentiate between Intelligent Tutoring Systems and Expert Systems.
• To highlight the benefits of intelligent systems for human resources.

Main Methods:

• Description of Intelligent Tutoring Systems (ITSs) components: expert module, student module, and instructional module.
• Explanation of Expert Systems, emphasizing the knowledge base and action explanation.
• Analysis of the application of intelligent systems in human resources.

Main Results:

• ITSs offer individualized instruction, track student performance, and address learning deficiencies.
• Expert Systems provide specialized knowledge and aid novices in complex tasks.
• Intelligent systems can significantly improve training and optimize human resource utilization.

Conclusions:

• Intelligent systems, particularly ITSs and Expert Systems, are valuable tools for education and professional development.
• These systems enhance human capabilities by providing tailored support and knowledge.
• Intelligent systems positively impact human resources, enabling "doing more with less" in training and task execution.