Conflicts in Information Ecosystems

Document type: Dissertations
Full text:
Author(s): Bengt Carlsson
Title: Conflicts in Information Ecosystems
Translated title: Konflikter inom informationsekosystem
Series: Blekinge Institute of Technology Dissertation Series
Year: 2001
Issue: 3
ISBN: 91-7295-005-6
ISSN: 1650-2159
Publisher: Blekinge Institute of Technology
City: Ronneby
Organization: Blekinge Institute of Technology
Department: Department of Software Engineering and Computer Science (Institutionen för programvaruteknik och datavetenskap)
Dept. of Software Engineering and Computer Science S-372 25 Ronneby
+46 455 38 50 00
http://www.bth.se/eng/ipd/
Authors e-mail: bengt.carlsson@bth.se
Language: English
Abstract: The main topic of this thesis concerns the study of how conflicting interests of software agents within an information ecosystem may cause cooperative behavior. Since such agents act on the behalf of their human owners, which often act in their own interest, this will sometimes result in malignant acts. Different types of models, often inspired by biological theories such as natural selection, will be used to describe various aspects of such information ecosystems. We begin by adopting a game theoretic approach where a generous and greedy model is introduced. Different agent strategies for iterated games are compared and their ability to cooperate in conflicting games are evaluated in simulation experiments. The conclusion is that games like the chicken game favor more complex and generous strategies whereas in games like the prisoner’s dilemma, the non-generous strategy tit-for-tat often is the most successful. We then use models based on a surplus value concept to explain antagonistic group formations. The focus is on systems that consist of exploiter agents and agents being exploited. A dynamic protection model of access control is proposed, where a chain of attacks and countermeasures concerning the access are measured. This process can be described as an arms race. It is argued that arms race is a major force in the interaction between antagonistic agents within information ecosystems. Examples of this are given in several contexts such as peer-to-peer tools concerning anonymity and non-censorship, using agents for sending or filtering out mass distributed advertisement e-mails, and finally for describing the fight against viruses or spywares.
Summary in Swedish: Avhandlingen tar upp hur konflikter mellan agenter på individnivå i ett informationsekosystem kan leda till samverkande effekter på grupp eller systemnivå. Biologiska och ekonomiska modeller inom spelteori, naturligt urval, mervärde och kapprustning mellan olika grupper används för att förklara dynamiken som uppstår mellan användare och agenter som uppför sig själviskt. Exempel på sådana områden är: ”peer-to-peer” nätverk, skyddssystem mot virus och andra intrång samt oönskad massreklam (spam) och ”spionprogram”. Ett önskvärt och möjligt slutresultat är ett informations ekosystem med robusta, samverkande egenskaper mot attacker utifrån.
Subject: Computer Science\General
Keywords: Multiagentsystem, Informationsekosystem, Spelteori, Antagonistiska grupper
URN: urn:nbn:se:bth-00168
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