<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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</p></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

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

L3i Laboratory University of La Rochelle, Avenue Michel Crépeau, 17042 La Rochelle Cedex 1, France

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

During interactions, system actors may face up misunderstandings when their local states contain inconsistent data about the same fact. Misunderstandings in...

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

Article Category: Special Section Title: Agents in Intelligent Computing and Simulation Systems, Editors: Aleksander Byrski, Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski

Published Online: Sep 30, 2015

Page range: 439 - 454

Received: Jun 30, 2014

DOI: https://doi.org/10.1515/amcs-2015-0033

© by Mourad Rabah

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.