Object

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

Contributor:

Byrski, Aleksander - ed. ; Kisiel-Dorohinicki, Marek - ed. ; Dobrowolski, Grzegorz - ed.

Subtitle:

.

Group publication title:

AMCS, Volume 25 (2015)

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 system`s 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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:79060

DOI:

10.1515/amcs-2015-0033

Pages:

439-454

Source:

AMCS, volume 25, number 3 (2015) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

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