Software bio-inspired systems an artificial genome methodology

العناوين الأخرى

الأنظمة البرمجية المستوحاة من الطبيعة منهجية الجينوم الصناعي

مقدم أطروحة جامعية

al-Shaykh, Imad al-Din Mahmud Ahmad

مشرف أطروحة جامعية

al-Ghul, Said

الجامعة

جامعة فيلادلفيا

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2012

الملخص الإنجليزي

-It is commonly held in current computer software systems that inspiration from biological entities was entirely used as inspiration of biological entities structures, emulation of their motions and reflection of their behaviors.

In fact, the literatures have investigated many biological entities as a base of biological inspiration such as ants, swarms, genetics, bees, endocrine systems, and many others.

However the genetics were and still the first biological inspiration, while the extensive methodologies appeared in role of mapping the real genetics into an artificial ones, but these mapping methods are still limited to reflect what happened in real genetics on the real life.

This limitation is due to lacking of general framework and proper methodology for such mapping.

In this thesis, we develop a kernel model that integrates the three axes of the space of the software bio-inspired systems, where these axes are Phylogeny, Ontogeny, and Epigeny, i.e.

the (POE) model.

We present a rebuttal of the main arguments against POE axes integration and show that they can be herein within a genome kernel to present a novel and new artificial genome model which is presented and illustrated visually by using UML diagrams along with new software modeling methodology.

We also present an example of applying the proposed model to resolving common problem that happens in Operating Systems.

The results show new general framework of bio-inspired software systems and new software modeling methodology.

The results also show some discussions about this model, evaluations, implementations issues, related frameworks, conclusions and future perspectives.

التخصصات الرئيسية

الرياضيات

الموضوعات

• علم الأحياء
• المنهجية
• معالجة البيانات
• برمجيات الحاسوب
• الشبكات العصبية(الحاسبات الإلكترونية)
• المعلوماتية الحيوية

عدد الصفحات

57

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-546126