Advances in Cognitive Sciences

fa ارائه یک مدل مبتنی بر عامل احساسی‌_هنجاری از طریق ترکیب معماری E-X-machine و NOE جهت بررسی پدیده هجوم بانکی Presenting an emotional-normative agent model through combining E-X-machine and NOE architecture for investigating the phenomenon of bank rush مدل سازی شناختی، پردازش سیگنال و تصویربرداری مغز پژوهشي اصیل Research <div style="text-align: justify;">مقدمه: یکی از پدیده‌های اقتصادی که به گونه‌های مختلف توسط پژوهشگران مورد بررسی قرار گرفته است، مسئله هجوم بانکی است. هجوم بانکی به وضعیتی اطلاق می‌شود که سپرده‌گذاران به دلیل ترس از امنیت سپرده‌های خود در واکنشی عمدتا احساسی، اقدام به برداشت ناگهانی آن می‌نمایند که می‌تواند منجر به ورشکستگی دومینووار بانکی شود. روش کار: در این مقاله ضمن ترکیب معماری Emotional X-machine برای عامل احساسی و معماری ((NOE)Norma Emergence) برای عامل هنجاری، مدلی برای عامل احساسی_هنجاری ارائه شده و به واسطه آن، نقش هنجارهای اجتماعی در پیشگیری از پدیده هجوم بانکی از طریق شبیه‌سازی در محیط عامل‌محور Netlogo و تجزیه و تحلیل نتایج آن مورد بررسی قرار گرفته است. یافته‌ها: در شرایطی که بدون استفاده از استدلال هنجاری، با فعالسازی سرایت احساسات و استفاده از 15 عامل فرعی با ورشکستگی بانکی 100 درصد مواجه بوده‌ایم، با فعالسازی استدلال هنجاری، در نظر گرفتن میانگین 5/0 برای متغیر شخصیتی Agreeableness و استفاده از جمعیت هنجاری اولیه 50 درصد، میزان ورشکستگی بانکی به حدود 50 درصد کاهش پیدا می‌کند، با افزایش جمعیت هنجاری اولیه به 100 درصد، ورشکستگی بانکی به طور کامل مهار می‌گردد. نتیجه‌گیری: در نهایت نتایج به دست آمده از شبیه‌سازی به وضوح تاثیرگذاری استدلال هنجاری را در پیشگیری از وقوع پدیده فرار بانکی تایید می‌نمایند.  </div> <pre> Introduction</pre> <pre style="text-align:justify"> In recent years, agent-based simulation has been successfully used in the study of various economic phenomena, which has led to the emergence of the interdisciplinary research system of agent-based computational economics.</pre> <pre style="text-align:justify"> One of the economic phenomena researchers have investigated in different ways is the problem of bank runoff. A bank raid is a situation where depositors withdraw their deposits from the bank due to fear of their deposits’ safety.</pre> <pre style="text-align:justify"> The question is whether norms, such as society’s attention to rumors, social responsibility, and prioritizing collective interests over individual desires, can reduce such phenomena’s probability.</pre> <pre style="text-align:justify"> In this research, by combining two architectures of emotional and normative agents, an emotional-normative model is proposed through which, while simulating the phenomenon of bank rush, the role of normative variables in preventing this phenomenon is investigated. As a result, the main goal of this research is to present and test an emotional-normative model and investigate the role of normative reasoning in preventing the adverse results of economic phenomena known as ecological surprises.</pre> <pre> </pre> <pre> Methods</pre> <pre style="text-align:justify"> The modeling approach chosen to implement the simulation of the bank rush phenomenon is the combination of FSM, Emotion, and NOE models.</pre> <pre style="text-align:justify"> A Finite State Machine (FSM) is a computational model that can be used to simulate sequential logic or, in other words, to represent and control the flow of execution. FSMs can model problems in many fields, including mathematics, artificial intelligence, games, and linguistics.</pre> <pre style="text-align:justify"> In this article, according to the model presented by Sakellario et al. (3), emotions are defined as passion (the level of motivation to act). The corresponding mode is applied to the agents. These states reflect the agent’s speed in maintaining or changing how he interacts with the simulation world. This willingness to act shows the agent’s readiness to welcome other agents, situations, and events.</pre> <pre style="text-align:justify"> On the other hand, the NOE agent processes emotions based on the norm evaluation output and, similar to the OCC model, considers both the type and intensity of emotions to perform a specific action. Therefore, violating the norms in such a factor causes negative feelings (18).</pre> <pre style="text-align:justify"> Agents with norms refer to their normative memory upon entering each state to determine whether they are in a normative situation. If the answer is positive, due to the agent’s institutionalization degree of desire agent, he will behave according to the norm.</pre> <pre style="text-align:justify"> Therefore, by examining the normative nature of each state by the agent (Identification), and by gradually increasing the norm in the agent (Instantiation), and changing the agent’s behavior due to the existence of norms, the NOE model is used in the normative reasoning, and finally, Norm Fulfillment by evaluating compliance or non-compliance with the norm. The related rewards and punishments are implemented.</pre> <pre> The three normative variables that are vital in preventing the Bank Rush phenomenon are:</pre> <pre> • The agent’s previous experience of complying or not complying with the norm</pre> <pre> • The agent’s behavior results in the prediction of the future</pre> <pre> • The degree of guilt in the perpetrator</pre> <pre> </pre> <pre> Results</pre> <pre style="text-align:justify"> The agents’ emotions are aroused by activating sub-agents and dispersing negative rumors. The value of their Cash-Need variable, which represents the amount of cash the agent feels secure with, increases rapidly (1).</pre> <pre style="text-align:justify"> To check the impact of the normative variables and determine how the model works, for simulating, the authors activate the normative variables, which in the previous bankruptcy experiments of all banks has occurred (By using 15 sub-factors and active contagion of emotions).</pre> <pre style="text-align:justify"> Moreover, the initial value of the two variables, init-norm and init-agreeable, which respectively represent the institutionalization degree of the norm in a factor and the degree of agreeableness in the agent, have been considered at the average level (0.5). Three variables- previous experience, future prediction of crossing the norm, and feeling guilty when crossing the norm- are used for the agent’s next decisions (Table 1).</pre> <pre> </pre> <pre style="text-align:center"> Table 1. Simulation results with normative reasoning activation</pre> <table align="right" class="MsoTableGrid" dir="rtl" style="border-collapse:collapse; border:none"> <tbody> <tr> <td style="border-bottom:1px solid black; width:123px; padding:0in 7px 0in 7px; border-top:1px solid black; border-right:1px solid black; border-left:1px solid black" valign="top">Average Days Before Failure</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:1px solid black; border-right:none; border-left:1px solid black" valign="top">Failure Percent</td> <td style="border-bottom:1px solid black; width:132px; padding:0in 7px 0in 7px; border-top:1px solid black; border-right:none; border-left:1px solid black" valign="top">Init Normative Population Percent</td> <td style="border-bottom:1px solid black; width:94px; padding:0in 7px 0in 7px; border-top:1px solid black; border-right:none; border-left:1px solid black" valign="top">Punishment System</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:1px solid black; border-right:none; border-left:1px solid black" valign="top">Reward System</td> <td style="border-bottom:1px solid black; width:84px; padding:0in 7px 0in 7px; border-top:1px solid black; border-right:none; border-left:1px solid black" valign="top">Normative Reasoning</td> </tr> <tr> <td style="border-bottom:1px solid black; width:123px; padding:0in 7px 0in 7px; border-top:none; border-right:1px solid black; border-left:1px solid black" valign="top">5</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">100%</td> <td style="border-bottom:1px solid black; width:132px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">20%</td> <td style="border-bottom:1px solid black; width:94px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Inactive</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Inactive</td> <td style="border-bottom:1px solid black; width:84px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Active</td> </tr> <tr> <td style="border-bottom:1px solid black; width:123px; padding:0in 7px 0in 7px; border-top:none; border-right:1px solid black; border-left:1px solid black" valign="top">22</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">50%</td> <td style="border-bottom:1px solid black; width:132px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">50%</td> <td style="border-bottom:1px solid black; width:94px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Inactive</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Inactive</td> <td style="border-bottom:1px solid black; width:84px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Active</td> </tr> <tr> <td style="border-bottom:1px solid black; width:123px; padding:0in 7px 0in 7px; border-top:none; border-right:1px solid black; border-left:1px solid black" valign="top">-</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">0%</td> <td style="border-bottom:1px solid black; width:132px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">75%</td> <td style="border-bottom:1px solid black; width:94px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Inactive</td> <td style="border-bottom:1px solid black; width:85px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Inactive</td> <td style="border-bottom:1px solid black; width:84px; padding:0in 7px 0in 7px; border-top:none; border-right:none; border-left:1px solid black" valign="top">Active</td> </tr> </tbody> </table> <pre> </pre> <pre> Conclusion</pre> <pre style="text-align:justify"> In normative reasoning activation mode, the most important factor influencing the simulation result is the number of agents who have accepted the desired norm at the beginning of the simulation. The results presented in Table 1 show that the higher the number of primary normative factors, the lower the probability of bank failure.</pre> <pre style="text-align:justify"> Noteworthy that the phenomenon of bank rush generally occurs in a short time. In this way, immediately after creating negative rumors, negative feelings related to it are created at the community level, and the withdrawal of money from banks starts quickly. Certainly, in such a time, there is not much opportunity for the emergence of the norm in people. The most important issue is the number of people who have already accepted the desired norm for various reasons. In this case, the very low growth of normative variables confirms this point (Fig. 1). </pre> <pre> </pre> <pre> <v:group coordsize="54749,21621" id="Group_x0020_30" o:gfxdata="UEsDBBQABgAIAAAAIQAfiHZoFgEAAFECAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKSSTW7DIBCF 95V6B8S2snG6qKrKdhb9WbZdpAeYwtgmxYCApMntO3ZsqY3SbLJBwPDe+xgol7vesC2GqJ2t+CIv OEMrndK2rfjH6iW75ywmsAqMs1jxPUa+rK+vytXeY2SktrHiXUr+QYgoO+wh5s6jpUrjQg+JlqEV HuQXtChui+JOSGcT2pSlwYPX5RM2sDGJPe9o+0Cy9i1nj4dzQ1TFdT/o1x5bLk5KApp4pAHvjZaQ 6HJia9URWDZB5aQcz8RO+3hD5P8kDJW/UL8DJt0bdTNohewdQnqFntCFNNp/OghKqADf1Ns4Txb5 edMT1K5ptETl5KanJuaT44x9Pj7RA6EYx8uTR5s5V4wfov4BAAD//wMAUEsDBBQABgAIAAAAIQCt MD/xwQAAADIBAAALAAAAX3JlbHMvLnJlbHOEj80KwjAQhO+C7xD2btN6EJGmvYjgVfQB1mTbBtsk ZOPf25uLoCB4m2XYb2bq9jGN4kaRrXcKqqIEQU57Y12v4HTcLdYgOKEzOHpHCp7E0DbzWX2gEVN+ 4sEGFpniWMGQUthIyXqgCbnwgVx2Oh8nTPmMvQyoL9iTXJblSsZPBjRfTLE3CuLeVCCOz5CT/7N9 11lNW6+vE7n0I0KaiPe8LCMx9pQU6NGGs8do3ha/RVXk5iCbWn4tbV4AAAD//wMAUEsDBBQABgAI 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Partial changes of normative variables in the simulation interval</pre> </div> </td> </tr> </tbody> </table> </v:textbox> </v:shape></pre> <pre> </pre> <pre> </pre> Ethical Considerations Compliance with ethical guidelines The authors have not used a questionnaire in this article, and people’s privacy has not been violated. The report’s presentation is only based on the repeated execution of the simulation, and no ethical notions were involved in this research. <pre> </pre> Authors’ contributions All the authors participated in this research and had an equal share in writing and editing this article. Funding This research was done at the personal expense of the authors. Acknowledgments <pre> The authors express their gratitude to all those who helped to write this article.</pre> Conflict of interest There is no conflict of interest among the authors.   شبیه‌سازی مبتنی بر عامل, هنجار, مدل احساسی_هنجاری Agent-based simulation, Norms, Emotional-normative agent 115 131 http://icssjournal.ir/browse.php?a_code=A-10-1442-1&slc_lang=fa&sid=1 Nariman Zaeim Kohan نریمان زعیم کهن 100319475328460014524 100319475328460014524 No Master’s Student in Software Engineering, Department of Computer Engineering & Information Technology, Lahijan Branch, Islamic Azad University, Lahijan, Iran دانشجوی کارشناسی ارشد مهندسی نرم‌افزار، گروه مهندسی کامپیوتر و فناوری اطلاعات، واحد لاهیجان، دانشگاه آزاد اسلامی، لاهیجان، ایران Azamossadat Nourbakhsh اعظم السادات نوربخش Nourbakhsh@liau.ac.ir 100319475328460014525 100319475328460014525 Yes Assistant Professor, Department of Computer Engineering & Information Technology, Lahijan Branch, Islamic Azad University, Lahijan, Iran استادیار، گروه مهندسی کامپیوتر و فناوری اطلاعات، واحد لاهیجان، دانشگاه آزاد اسلامی، لاهیجان، ایران