Money laundering and economy development case of Lebanon

مقدم أطروحة جامعية

ٍٍٍSawaya, Shadiyah Malik

مشرف أطروحة جامعية

Abd Allah, Khalid Amin

أعضاء اللجنة

al-Sarraf, Zaki Jawad
al-Tarawinah, Muhammad Ahmad
al-Halasa, Awni Ibrahim

الجامعة

الأكاديمية العربية للعلوم المالية و المصرفية

الكلية

كلية العلوم المالية و المصرفية

القسم الأكاديمي

قسم إدارة الأعمال

دولة الجامعة

الأردن

الدرجة العلمية

دكتوراه

تاريخ الدرجة العلمية

2011

الملخص الإنجليزي

This thesis proposes modeling of artificial emotions through agents based on original symbolic / computational approach.

The symbolic approach utilizes a symbolic emotional rule-based system that continuously interacts with the environment.

It has internal "thinking" machinery that comes as a result of-series-of inferences, evaluation, evolution processes, adaptation, learning besides emotions To this date, the field of Artificial Intelligence has largely ignored the use of artificial emotions and intuition to guide reasoning and decision-making.

Several models of artificial emotions have been proposed, but most of the work in this area is limited to analysis without complex applications.

In our thesis, we extend previous research on computational models of emotions [OCC Model and Bates Reilly Model] by modifying architecture [Nilsson Model], and integrating personality, motivations, mood and sensitivity into software agents.

We propose a general, flexible, and powerful architecture to build software agents that embed artificial emotions.

The propose agent possesses rational knowledge and reactive capabilities, and interacts with the external world, including other agents.

We are aiming to develop artificial mechanisms that can play the role emotions play in natural life.

~We investigate if artificial emotional control can improve performance of agents h some circumstances.

The main contribution of this thesis is to present emotions as valid approach to improve the behavior of artificial agents.

Moreover, a systemati< view of the kinds of emotions that can take place, assuming emotions are processe involving assessment, emotion-signal generation, and emotion-response, are presented.

To come across emotions, an agent needs to incorporate a deeper model of personality, mood and sensitivity.

EMAM (Emotional Agent Model) is proposed for this purpose.

EMAM-agent can generate emotions signals, evaluate and assess events, taking into account the integration of personality, mood, sensitivity, feeling and motivational states.

EMAM-agent takes the proper actions or plans for actions (sequence of actions) to accomplish goal(s).

Two different applications; Material Requirement Planning (as business application) and Orphanage Care Application (as social application) are chosen to demonstrate the use of EMAM emotional agent.

Netlogo is used as an agent programming language.

It is the agent-oriented language used to simulate and implement our proposed models.

The two applications are implemented using both agents types; the one with artificial emotions and the one without emotions.

The two systems are simulated and results are compared.

Our study shows that systems (or agents) with proper model of emotions can perform in many cases better than systems without emotions.

In conclusion, we shed the light here on how artificial emotions can be modeled in an emotional rule-based agent systems and if emotions as they exist in "real intelligence" can be helpful for "artificial intelligence agents".

Consequently, our proposed emotional intelligent agent architectures are presented as an original generic blueprints on which the design of agents of that type could be based.

التخصصات الرئيسية

إدارة الأعمال

الموضوعات

• الأحوال الاقتصادية
• لبنان
• غسل الأموال

عدد الصفحات

540

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-307186