An Intelligent Belief-Desire-Intention Agent for Digital Game-Based Learning

Go, Christian Anthony L.; Lee, Won-Hyung

doi:10.1007/978-3-540-72432-2_68

Cited by 2 publications

(1 citation statement)

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“…The BDI model (belief—desire—intention) [ 27 – 29 ] is the best known and most frequently used agent model for designing intelligent agents. This model is based on logic and psychology, and creates symbolic representations of agent beliefs, desires, and intentions.…”

Section: Introductionmentioning

confidence: 99%

Extending MAM5 Meta-Model and JaCalIV E Framework to Integrate Smart Devices from Real Environments

et al. 2016

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This paper presents the extension of a meta-model (MAM5) and a framework based on the model (JaCalIVE) for developing intelligent virtual environments. The goal of this extension is to develop augmented mirror worlds that represent a real and virtual world coupled, so that the virtual world not only reflects the real one, but also complements it. A new component called a smart resource artifact, that enables modelling and developing devices to access the real physical world, and a human in the loop agent to place a human in the system have been included in the meta-model and framework. The proposed extension of MAM5 has been tested by simulating a light control system where agents can access both virtual and real sensor/actuators through the smart resources developed. The results show that the use of real environment interactive elements (smart resource artifacts) in agent-based simulations allows to minimize the error between simulated and real system.

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Section: Introductionmentioning

confidence: 99%