دانلود مقاله ISI انگلیسی شماره 7598
عنوان فارسی مقاله

کبوترها و بازها در اقتصاد بازنگری شده:تجزیه و تحلیل بحران های مالی مبتنی بر تئوری بازی تکاملی کوانتومی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
7598 2010 19 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Doves and hawks in economics revisited: An evolutionary quantum game theory based analysis of financial crises
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Physica A: Statistical Mechanics and its Applications, Volume 389, Issue 21, 1 November 2010, Pages 5084–5102

کلمات کلیدی
- تئوری بازی تکاملی - نظریه بازی کوانتومی - بازی باز - کبوتر - بحران مالی -
پیش نمایش مقاله
پیش نمایش مقاله کبوترها و بازها در اقتصاد بازنگری شده:تجزیه و تحلیل بحران های مالی مبتنی بر تئوری بازی تکاملی کوانتومی

چکیده انگلیسی

The last financial and economic crisis demonstrated the dysfunctional long-term effects of aggressive behaviour in financial markets. Yet, evolutionary game theory predicts that under the condition of strategic dependence a certain degree of aggressive behaviour remains within a given population of agents. However, as a consequence of the financial crisis, it would be desirable to change the “rules of the game” in a way that prevents the occurrence of any aggressive behaviour and thereby also the danger of market crashes. The paper picks up this aspect. Through the extension of the well-known hawk–dove game by a quantum approach, we can show that dependent on entanglement, evolutionary stable strategies also can emerge, which are not predicted by the classical evolutionary game theory and where the total economic population uses a non-aggressive quantum strategy.

مقدمه انگلیسی

Economic developments often have been compared to biological evolutionary processes, as they converge to equilibria in an evolutionary manner (e.g. Refs. [1], [2] and [3]). Actually, the conceptual ideas behind evolutionary theory were borrowed from early economic works, especially Malthus [4] (see e.g. Ref. [5]). Due to inter alia the application of evolutionary game theory, whose origin lies in biology [6] and [7], evolutionary concepts came back into economics and organisational theory. Applications in respect to biological systems [8], [9], [10], [11], [12], [13] and [14] and socio-economic systems, e.g. “public good” games [15] and [16], cultural or moral developments [17] and [18], the evolution of languages [19], social learning [17], the evolution of social norms [20] and [21] and the evolution of social networks [22], [23], [24], [25], [26], [27] and [28] have been addressed in several research articles. One major topic in this evolutionary research field is the optimality of aggressive versus non-aggressive or cooperative behaviour (see e.g. for the tension of cooperative and non-cooperative behaviour [20]). In an economic context the notion of aggressive behaviour can be translated to the short-term-oriented maximisation of individual utility without looking after others, while cooperative behaviour comprises a more interactive and long-term-oriented behaviour considering long-term, individual and/or group utility maximisation. The possible positive effects of the mentioned aggressive behaviour on economic welfare have been discussed since the earliest days of economics [29]: the idea was that if each economic individual tries to maximise his/her utility without caring about other individuals, the whole welfare will also be maximal. One instrument to analyse the long-term effects of this assumption is evolutionary game theory. Analogous to the classical game theory it introduces the concept of strategic dependence among agents in an economic context. In such a situation the expected utility of one agent depends on the decisions of other agents. Evolutionary game theory provides an equilibrium in which the ratio of aggressive to non-aggressive agents is stable and that depends on the expected losses and gains of utility induced by the agents decisions. For example, if the expected losses are high for two meeting aggressive agents, most members of the economic population–but not all of them–will behave in a non-aggressive, cooperative way [30]. Hence, also in situations where severe losses are expected, if two aggressive agents meet, an economic population always will contain a certain degree of aggressive agents. In economic reality, exactly this aspect can be observed, for example in the recent financial crisis: each participant of financial transactions knew that highly risky financial products would increase the risk of the whole market portfolio and thereby augment the probability of a market crash resulting in huge losses. Nevertheless, several participants continued selling and buying these products in order to maximise their own, short-term utility resulting from high selling premiums and investment returns. Hence, these individuals followed an aggressive strategy. However, as the occurrence of the financial crisis exhibited, this behaviour can result in severe problems for the whole economic population. So, the question rises, whether there is a possibility to change the rules of the game in a way that protects populations from these severe problems by inhibiting the occurrence of aggressive behaviour. To answer this question the classical concept of evolutionary game theory shall be extended by another game theoretical development that is currently discussed: quantum games. The discussion of quantum games started with the work of Meyer [31] and Eisert et al. [32]. Meyer analysed the “penny flip” game and showed, that a player who selects a quantum strategy always wins this game. Eisert et al. [32] concentrated on the prisoner dilemma and demonstrated that the players of this game could escape this dilemma if the entanglement of the prisoners wave function is above a certain value. Since these leadoff articles several further applications of quantum games have been published. Marinatto & Weber [33] applied quantum games to the “battle of sexes” showing that entangled strategies will lead to a unique solution of this game. R.V. Mendes analysed the “quantum ultimatum game” and Hogg et al. investigated the quantum treatment of several different games, namely the “quantum treatment of public good economics” [34], the “quantum coordination game” [35] and “quantum auctions” [36]. Benjamin & Hayden [37] amplified the quantum game approach to a situation of multiple players. Piotrowski & Sladkowsky [38] used quantum games to examine market behaviour. In 2001 the first quantum game was realised on a quantum computer [39] (see also Refs. [40]). The application of quantum game theory to social experiments and experimental economics [41], [42], [43], [44] and [45] and several review articles [46], [47], [48], [49], [50], [51] and [52] followed. Hanauske et al. [53] based the analysis of the open access publishing behaviour in different scientific communities on a quantum game approach (see also Ref. [54]). The combination of this quantum game approach and evolutionary game theory has been applied by Refs. [55], [56], [57] and [58]. We add to this existing research a practical application of this type of game theory. Our results show that dependent on entanglement, also evolutionary stable strategies can emerge, which are not predicted by the classical evolutionary game theory: the analysis exhibits the existence of a new, payoff dominant evolutionary stable strategy (ESS), where the whole economic population uses the non-aggressive quantum dove strategy. We interpret entanglement in this context as the objective influence of socio-economic context factors, while the application of quantum strategies exhibits the degree to which decision makers incorporate these factors into their decisions. This interpretation allows the derivation of consequences and shows the linkage of our study to other game theoretical analyses that also highlight the importance of the socio-economic context to the outcomes of games. For example, Sally [59] discusses the notion of sympathy, a feeling that occurs when players get to know each other and that can lead to increasing cooperation in prisoners’ dilemma games. Platkowski [60] and [61] generalises the classical evolutionary game theory by implementing additional parameters, which describe the complex personality profiles similar to Max Weber’s ideal types of social actors. Analogically to this study additional evolutionary stable strategies have been found for specific parameter ranges. The paper is structured as follows: we pick up the recent financial crisis as an example for the fruitful application of evolutionary quantum game theory. In order to do so, we have to select a group of participants in the financial transactions that finally lead to the crisis. We have chosen the group of inventors and sellers of the highly risky financial products. Their behaviour can be interpreted as the in theory well-known hawk–dove game [7], [62], [7] and [62]. Hence, in Section 2 we develop a model that is based on this game type and comprises the relevant parts of the behaviour of these constructors and sellers to mirror the starting conditions of the financial crisis. In Section 3 we transfer this model into a classical evolutionary game. Section 4 is dedicated to the quantum version of this game, while Section 5 comprises the evolutionary quantum version. In Section 6 we draw some conclusions from our findings. The paper closes with a summary in Section 7.

نتیجه گیری انگلیسی

The last financial and economic crisis demonstrated the dysfunctional long-term effects of aggressive behaviour in financial markets. Starting from this observation, this paper picked up a result of evolutionary game theory which states that under the condition of strategic dependence a certain degree of aggressive behaviour remains within a given population of agents and asked how one could change the “rules of the game” in a way that prevents the occurrence of any aggressive behaviour and thereby also the danger of market crashes. In order to answer this question we extended the in literature well-known evolutionary hawk–dove game by a quantum approach and analysed three scenarios in depth. The resulting study exhibited that dependent on entanglement, also evolutionary stable strategies can emerge, which are not predicted by the classical evolutionary game theory and where the total economic population uses a non-aggressive quantum strategy. Hence, the obtained outcomes point into a direction, how the mentioned “rules of the game” could be changed to prevent future crashes. In order to make this mathematical result actually usable in an economic context, we additionally provided an interpretation of the outcomes of our study in the context of economic situations: we transformed the more physical notions entanglement and quantum strategies into concepts of the analysed economic situation. We interpret entanglement as the objective influence of socio-economic context factors, while in this context the application of quantum strategies exhibits the degree to which decision makers incorporate these factors into their decisions. Under this premise, our results point to the importance of deliberately changing existing socio-economic context factors and thereby influencing market participants. In this context, we explicitly mentioned the provision of a value basis that prevents aggressive behaviour through educational measures, the strengthening of disapproval regarding aggressive behaviour in an economic context through the general public and the change of the legal basis for the provision of variable payment systems.

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