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Title: Emotional Agents Make a (Bank) Run
Authors: Grevenitis, Konstantinos
Sakellariou, Ilias
Kefalas, Petros
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Multi Agent Simulation
Artificial Emotions
Agent Based Computational Economics
Bank runs
Issue Date: 5-Jan-2021
Volume: 12520
First Page: 171
Last Page: 187
Volume Title: Multi-Agent Systems and Agreement Technologies
Part of Series: Lecture Notes in Computer Science
Part of Series: Lecture Notes in Computer Science
Abstract: Agent-based Computational Economics (ACE) is an area that has gained significant attention, since it offers the possibility to model economic phenomena in a more fine-grained manner than other approaches. One such phenomenon is “bank panic” in which the term “panic” implies the existence of emotional bias towards to the sudden withdrawal of deposits from financial institutions (simultaneous bank runs). However, research towards complex emotional agents in ACE has not been extensively conducted. The paper employs a formal state-based model enhanced with explicit emotional states, mood and personality characteristics in order to describe the agents behavior. A NetLogo simulation of a multi-agent system in a limited economic environment is attempted in order to study the effects of emotions, emotion contagion and the role of various players in the genesis of a bank panic crisis. The aim is to investigate further whether such agent models that are already used in other areas, such as evacuation simulation, could also provide a better insight on the evolution of such economic phenomena.
ISBN: 978-3-030-66411-4
ISSN: 0302-9743
Other Identifiers: 10.1007/978-3-030-66412-1_12
Appears in Collections:Department of Applied Informatics

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