BRAIN. Broad Research in Artificial Intelligence and Neuroscience
Volume: 7 | Issue: 2 |
Two New Software Behavioral Design Patterns: Obligation Link and History Reminder
Published June 16, 2016
❝
Cite
Stefan Andrei -
"Lamar University", Beaumont (US),
Arnob Saha -
"Lamar University", Beaumont (US),
Sojibur Rahman -
Lamar University, Beaumont (US),
Abstract
Finding proper design patterns has always been an important research topic in the software engineering community. One of the main responsibilities of the software developers is to determine which design pattern fits best to solve a particular problem. Design patterns support the effort of exploring the use of artificial intelligence in better management of software development and maintenance process by providing faster, less costly, smarter and on-time decisions (Pena-Mora & Vadhavkar, 1996). There has been a permanent interest in finding new design patterns, especially in the last two decades. Many new design patterns apply in various areas of computer science, such as software security, software parallelism, large-scale software evolving, artificial intelligence, and more. To the best of our knowledge, the "Obligation Link" and "History Reminder" design patterns are new and can be applied in software development in many areas of computer science including artificial intelligence.
Academic discipline and sub-disciplines:
Artificial Intelligence;
Related articles:
-
Artificial Intelligence in Dementia with Lewy Bodies — Current Applications, Diagnostic Challenges, and Future Perspectives
Maria Ciubotaru , Laura Romilă , Alin Ciobica , Mihai Hogas , Bogdan Novac , Ancuta Miler , Ecaterina Tomaziu-Todosia Anton , Otilia Novac , Adrian Cantemir (1 shared keywords) -
Neurocysticercosis in the Era of Artificial Intelligence: Neuroanatomical Insights, Neuroimaging and Predictive Computational Neurology
George Cătălin Moroșan , Roxana Florentina Gavril , Liviu Ciprian Gavril , Ana Maria Dumitrescu , Irina Florentina Bușilă , Laura Florea , Mihaela Dora Donciu , Carmen Valerica Rîpă , Lucia Corina Dima Cozma , Roxana Gabriela Cobzaru , Anca Sava (1 shared keywords) -
Ethical Considerations in the Application of Artificial Intelligence in Education: A Bibliometric and Thematic Inquiry
Olasile Babatunde Adedoyin , Zehra Altinay , Nedime Karasel (1 shared keywords) -
Preparing the Health Workforce for AI: Linking Health-System AI Adoption to Pre-Service and In-Service Training across the WHO European Region
Muhammet Berigel , İslam Sui̇çmez , Zehra Altinay , Gokmen Dagli (1 shared keywords) -
The Post-ChatGPT Surge: Does AI-Health-Education Research Growth Reflect Evidence or Enthusiasm
Olasile Babatunde Adedoyin , Fahriye Altinay , Gokmen Dagli , Zehra Altinay (1 shared keywords) -
A Survey on Deep Learning-Based Number Plate Recognition Systems in Vehicles for Real-Time Applications
Risha K. P , Jude Hemanth D (1 shared keywords) -
The Impact of AI Attitudes and Digital Capabilities on Business Performance and Burnout
Dan-Ioan Coman , Andreea-Gabriela Filimon , Adriana Manolică (1 shared keywords) -
Cognitive Mechanisms of Contrast Recognition and Interpretation and Their Functional Analogues in Artificial Intelligence Systems
Liudmyla Volodymyrivna Shytyk , Liudmyla Petrivna Yuldasheva , Anzhelika Kostiantynivna Dosenko , Oleksii Valeriiovych Sytnyk , Myroslava Mykhailivna Malysh , Artem Oleksandrovych Halych (1 shared keywords) -
Body-Related Vulnerabilities, Cyberchondria, and Trust in AI-Generated Health Information Among Adolescents: The Moderating Role of eHealth Literacy
Andreea-Gabriela Filimon , Gerhard Mema , Teodor Răileanu-Olariu , Dan-Ioan Coman , Caius Călin Miuța (1 shared keywords) -
Trust, Authority, and Human–AI Mediation in Digital Dharma: An Exploratory Mixed-Methods Study of the Trúc Lâm Zen Tradition
Duong Tien Phong (1 shared keywords)
▲