Publikation: Multi-level adaptation of distributed d...
Stammdaten
Titel: | Multi-level adaptation of distributed decision-making agents in complex task environments |
Untertitel: | |
Kurzfassung: | To solve complex tasks, individuals often autonomously organize in teams. Examples of complex tasks include disaster relief rescue operations or project development in consulting. The teams that work on such tasks are adap- tive at multiple levels: First, by autonomously choosing the individuals that jointly perform a specific task, the team itself adapts to the complex task at hand, whereby the composition of teams might change over time. We refer to this process as self-organization. Second, the members of a team adapt to the complex task environment by learning. There is, however, a lack of extensive research on multi-level adaptation processes that consider self-organization and individual learning as simultaneous processes in the field of Managerial Science. We introduce an agent-based model based on the NK-framework to study the effects of simultaneous multi-level adaptation on a team’s performance. We implement the multi-level adaptation process by a second-price auction mech- anism for self-organization at the team level. Adaptation at the individual level follows an autonomous learning mechanism. Our preliminary results suggest that, depending on the task’s complexity, different configurations of individual and col- lective adaptation can be associated with higher overall task performance. Low complex tasks favour high individual and collective adaptation, while moderate individual and collective adaptation is associated with better performance in case of moderately complex tasks. For highly complex tasks, the results suggest that collective adaptation is harmful to performance. |
Schlagworte: | adaptation, complex tasks, agent-based modeling |
Publikationstyp: | Beitrag in Sammelwerk (Autorenschaft) |
Erscheinungsdatum: | 01.01.2022 (Online) |
Erschienen in: |
Multi-Agent-Based Simulation XXII
Multi-Agent-Based Simulation XXII
(
Springer, Cham;
)
zur Publikation |
Titel der Serie: | Lecture Notes in Computer Science |
Bandnummer: | 13128 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 29 - 41 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 01.01.2022 |
ISBN (e-book): |
|
eISSN: | - |
DOI: | http://dx.doi.org/10.1007/978-3-030-94548-0_3 |
Homepage: | - |
Open Access |
|
Zuordnung
Organisation | Adresse | ||||
---|---|---|---|---|---|
Fakultät für Wirtschafts- und Rechtswissenschaften
Institut für Unternehmensführung Abteilung für Controlling und Strategische Unternehmensführung
|
AT - 9020 Klagenfurt |
||||
Universität Klagenfurt
Digital Age Research Center (D!ARC) Doktoratskolleg Decide
|
AT - A-9020 Klagenfurt |
Kategorisierung
Sachgebiete | |
Forschungscluster |
|
Peer Reviewed |
|
Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
|
Arbeitsgruppen |
|
Kooperationen
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
Projekte: |
|
Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: | Keine verknüpften Veranstaltung vorhanden |
Vorträge: |
|