Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Expert Systems and Applied Artificial Intelligence
Expert Systems and Applied Artificial Intelligence
Collaborative Virtual Environment Standards: A Performance Evaluation
DIS-RT '99 Proceedings of the 3rd International Workshop on Distributed Interactive Simulation and Real-Time Applications
The Design and Evaluation of Simulations for the Development of Complex Decision-Making Skills
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
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Evaluation of systems, synthetic environments and human performance are generally complicated and time-consuming tasks. Existing evaluation systems are domain dependent and don’t provide explanation on how the system reaches the evaluation results. Expertise is needed for evaluation process. Defining a model or a methodology, which simplifies and models the evaluation knowledge and speeds up the evaluation process, can obviously save cost, time and provide reusability. In this study, a knowledge representation of evaluation, which can also be used in distributed environments, was developed to handle the heuristic knowledge of experts from different domains and information from different sources for evaluation purposes. The evaluation knowledge was represented as reference model of evaluation objectives, production rules, evaluation measures, methods and parameters. Using of multiagents is proposed for evaluation in distributed environments. Different types of multi-agent organizations can be designed and developed. Multi-agents can simplify the evaluation process and reduce network traffic in distributed environments and decrease security problems among the network.