Active Player Modeling in the Iterated Prisoner’s Dilemma
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-02-18
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The iterated prisoner’s dilemma (IPD) is well known within the domain of game theory.
Although it is relatively simple, it can also elucidate important problems related to cooperation and trust.
Generally, players can predict their opponents’ actions when they are able to build a precise model of their behavior based on their game playing experience.
However, it is difficult to make such predictions based on a limited number of games.
The creation of a precise model requires the use of not only an appropriate learning algorithm and framework but also a good dataset.
Active learning approaches have recently been introduced to machine learning communities.
The approach can usually produce informative datasets with relatively little effort.
Therefore, we have proposed an active modeling technique to predict the behavior of IPD players.
The proposed method can model the opponent player’s behavior while taking advantage of interactive game environments.
This experiment used twelve representative types of players as opponents, and an observer used an active modeling algorithm to model these opponents.
This observer actively collected data and modeled the opponent’s behavior online.
Most of our data showed that the observer was able to build, through direct actions, a more accurate model of an opponent’s behavior than when the data were collected through random actions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Park, HyunSoo& Kim, Kyung-Joong. 2016. Active Player Modeling in the Iterated Prisoner’s Dilemma. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099753
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Park, HyunSoo& Kim, Kyung-Joong. Active Player Modeling in the Iterated Prisoner’s Dilemma. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1099753
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Park, HyunSoo& Kim, Kyung-Joong. Active Player Modeling in the Iterated Prisoner’s Dilemma. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099753
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099753
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر