Practically intelligent agents aiding human intelligence

ABSTRACT

Practical intelligence is gained by doing. In this project we offer a technique which allows software agents and humans to learn by doing. The human trainer, that is the domain expert, directly interacts with the system to create new scenarios and learning experiences for the trainee. As they interact with the system, the system acquires knowledge from the trainer which can be transferred to the trainee. For this purpose, we employ a hybrid case and rule-based knowledge acquisition and representation technique known as Ripple Down Rules.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.1 Applications and Expert Systems

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Intelligent agents
      I.2.6 Learning
          Subjects: Knowledge acquisition

  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.1 Computer Uses in Education
          Subjects: Computer-assisted instruction (CAI)

General Terms:
Design, Human Factors

Keywords:
(virtual) agents, artificial intelligence, believable agents, border security, experimental, intelligent user interfaces, knowledge based systems, ripple down rules, training simulation, virtual reality