A situation-based multi-agent architecture for handling misunderstandings in interactions

Thao Phuong Pham; Mourad Rabah; Pascal Estraillier

International Journal of Applied Mathematics and Computer Science (2015)

  • Volume: 25, Issue: 3, page 439-454
  • ISSN: 1641-876X

Abstract

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During interactions, system actors may face up misunderstandings when their local states contain inconsistent data about the same fact. Misunderstandings in interactions are likely to reduce interactivity performances (deviation or deadlock) or even affect overall system behavior. In this paper, we characterize misunderstandings in interactions between system actors (that may be human users or system agents) in interactive adaptive systems. To deal with such misunderstandings and ensure state consistency, we present an agent-based architecture and a scenario structuring approach. The system includes several agents devoted to scenario unfolding, plot adaptation and consistency management. Scenario structuring is based on the notion of a situation that is an elementary building block dividing the interactions between systems' actors into contextual scenes. This pattern supports not only scenario execution but consistency management as well. In order to organize and control interactions, the situation contextualizes interactions and activity of the system's actors. It also includes prevention and tolerance agent-based mechanisms to deal with the misunderstandings and their causes. We validate our consistency management mechanisms using Uppaal simulation and provide some experimental results to show the effectiveness of our approach on an online distance learning case study.

How to cite

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Thao Phuong Pham, Mourad Rabah, and Pascal Estraillier. "A situation-based multi-agent architecture for handling misunderstandings in interactions." International Journal of Applied Mathematics and Computer Science 25.3 (2015): 439-454. <http://eudml.org/doc/271782>.

@article{ThaoPhuongPham2015,
abstract = {During interactions, system actors may face up misunderstandings when their local states contain inconsistent data about the same fact. Misunderstandings in interactions are likely to reduce interactivity performances (deviation or deadlock) or even affect overall system behavior. In this paper, we characterize misunderstandings in interactions between system actors (that may be human users or system agents) in interactive adaptive systems. To deal with such misunderstandings and ensure state consistency, we present an agent-based architecture and a scenario structuring approach. The system includes several agents devoted to scenario unfolding, plot adaptation and consistency management. Scenario structuring is based on the notion of a situation that is an elementary building block dividing the interactions between systems' actors into contextual scenes. This pattern supports not only scenario execution but consistency management as well. In order to organize and control interactions, the situation contextualizes interactions and activity of the system's actors. It also includes prevention and tolerance agent-based mechanisms to deal with the misunderstandings and their causes. We validate our consistency management mechanisms using Uppaal simulation and provide some experimental results to show the effectiveness of our approach on an online distance learning case study.},
author = {Thao Phuong Pham, Mourad Rabah, Pascal Estraillier},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {interactive adaptive systems; misunderstandings in interactions; situation structuring; consistency management},
language = {eng},
number = {3},
pages = {439-454},
title = {A situation-based multi-agent architecture for handling misunderstandings in interactions},
url = {http://eudml.org/doc/271782},
volume = {25},
year = {2015},
}

TY - JOUR
AU - Thao Phuong Pham
AU - Mourad Rabah
AU - Pascal Estraillier
TI - A situation-based multi-agent architecture for handling misunderstandings in interactions
JO - International Journal of Applied Mathematics and Computer Science
PY - 2015
VL - 25
IS - 3
SP - 439
EP - 454
AB - During interactions, system actors may face up misunderstandings when their local states contain inconsistent data about the same fact. Misunderstandings in interactions are likely to reduce interactivity performances (deviation or deadlock) or even affect overall system behavior. In this paper, we characterize misunderstandings in interactions between system actors (that may be human users or system agents) in interactive adaptive systems. To deal with such misunderstandings and ensure state consistency, we present an agent-based architecture and a scenario structuring approach. The system includes several agents devoted to scenario unfolding, plot adaptation and consistency management. Scenario structuring is based on the notion of a situation that is an elementary building block dividing the interactions between systems' actors into contextual scenes. This pattern supports not only scenario execution but consistency management as well. In order to organize and control interactions, the situation contextualizes interactions and activity of the system's actors. It also includes prevention and tolerance agent-based mechanisms to deal with the misunderstandings and their causes. We validate our consistency management mechanisms using Uppaal simulation and provide some experimental results to show the effectiveness of our approach on an online distance learning case study.
LA - eng
KW - interactive adaptive systems; misunderstandings in interactions; situation structuring; consistency management
UR - http://eudml.org/doc/271782
ER -

References

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