Owner-Intruder contests with information asymmetry

被引:1
|
作者
Bisen, Jay [1 ]
Farooq, Faheem [1 ]
Hasan, Manaeil [1 ]
Patel, Akhil [2 ]
Rychtar, Jan [3 ]
Taylor, Dewey [3 ]
机构
[1] Virginia Commonwealth Univ, Dept Biol, Richmond, VA 23284 USA
[2] Virginia Commonwealth Univ, Dept Biomed Engn, Med Coll Virginia Campus, Richmond, VA 23284 USA
[3] Virginia Commonwealth Univ, Dept Math & Appl Math, Med Coll Virginia Campus, Richmond, VA 23284 USA
关键词
Game theory; kleptoparasitism; resource valuation; information asymmetry; MODEL;
D O I
10.1051/mmnp/2021006
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We consider kleptoparasitic interactions between two individuals - the Owner and the Intruder - and model the situation as a sequential game in an extensive form. The Owner is in possession of a resource when another individual, the Intruder, comes along and may try to steal it. If the Intruder makes such a stealing attempt, the Owner has to decide whether to defend the resource; if the Owner defends, the Intruder can withdraw or continue with the stealing attempt. The individuals may value the resource differently and we distinguish three information cases: (a) both individuals know resource values to both of them, (b) individuals know only their own valuation, (c) individuals do not know the value at all. We solve the game in all three cases. We identify scenarios when it is beneficial for the individuals to know as much information as possible. We also identify several scenarios where knowing less seems better as well as show that an individual may not benefit from their opponent knowing less. Finally, we consider the same kind of interactions but without the option for the Intruder to withdraw. We find that, surprisingly, the Intruder typically fares better in that case.
引用
收藏
页数:11
相关论文
共 50 条
  • [32] Selective Information Disclosure in Contests
    Levy, Priel
    Sarne, David
    Aumann, Yonatan
    AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2019, : 2093 - 2095
  • [33] Catching a Robot Intruder with Limited Information
    Nussbaum, Doron
    Ilitchev, Fedor
    2020 FOURTH IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC 2020), 2020, : 17 - 23
  • [34] TERRITORY DEFENSE IN BLACK REDSTARTS, PHOENICURUS-OCHRUROS - EFFECTS OF INTRUDER AND OWNER AGE
    LANDMANN, A
    KOLLINSKY, C
    ETHOLOGY, 1995, 101 (02) : 121 - 129
  • [35] Honesty of agonistic signalling and effects of size and motivation asymmetry in contests
    Kotiaho J.S.
    Alatalo R.V.
    Mappes J.
    Parri S.
    acta ethologica, 1999, 2 (1) : 13 - 21
  • [36] Contests—a comparison of timing and information structures
    Sandra Ludwig
    Public Choice, 2012, 153 : 341 - 355
  • [37] Tullock contests reward information advantages
    Aiche, Avishay
    Einy, Ezra
    Haimanko, Ori
    Moreno, Diego
    Sela, Aner
    Shitovitz, Benyamin
    ECONOMICS LETTERS, 2018, 172 : 34 - 36
  • [38] Unique equilibrium in contests with incomplete information
    Ewerhart, Christian
    Quartieri, Federico
    ECONOMIC THEORY, 2020, 70 (01) : 243 - 271
  • [39] Information alliances in contests with budget limits
    Konrad, Kai A.
    PUBLIC CHOICE, 2012, 151 (3-4) : 679 - 693
  • [40] Continuous Time Contests with Private Information
    Seel, Christian
    Strack, Philipp
    MATHEMATICS OF OPERATIONS RESEARCH, 2016, 41 (03) : 1093 - 1107