Nature that Breeds Solutions

2010 ◽  
pp. 1-24 ◽  
Author(s):  
Raymond Chiong ◽  
Ferrante Neri ◽  
Robert I. McKay
Keyword(s):  
Real World ◽  
Natural Computing ◽  
Future Trends ◽  
Science And Engineering ◽  
Potential Growth ◽  
Large Complex ◽  
The Future ◽  
Hard Problems ◽  
Real World Problems

Nature has always been a source of inspiration. Over the last few decades, it has stimulated many successful techniques, algorithms and computational applications for dealing with large, complex and dynamic real world problems. In this chapter, the authors discuss why nature-inspired solutions have become increasingly important and favourable for tackling the conventionally-hard problems. They also present the concepts and background of some selected examples from the domain of natural computing, and describe their key applications in business, science and engineering. Finally, the future trends are highlighted to provide a vision for the potential growth of this field.

Nature That Breeds Solutions

2012 ◽  
Vol 2 (2) ◽  
pp. 23-44
Author(s):  
Raymond Chiong ◽  
Ferrante Neri ◽  
R. I. McKay
Keyword(s):  
Real World ◽  
Natural Computing ◽  
Future Trends ◽  
Science And Engineering ◽  
Potential Growth ◽  
Large Complex ◽  
The Future ◽  
Hard Problems ◽  
Real World Problems

Nature has always been a source of inspiration. Over the last few decades, it has stimulated many successful techniques, algorithms and computational applications for dealing with large, complex and dynamic real world problems. In this article, the authors discuss why nature-inspired solutions have become increasingly important and favourable for tackling the conventionally-hard problems. They also present the concepts and background of some selected examples from the domain of natural computing, and describe their key applications in business, science and engineering. Finally, the future trends are highlighted to provide a vision for the potential growth of this field.

An Empirical Study on Integration of Experiential Learning and Mobile Learning

2019 ◽  
Vol 9 (4) ◽  
pp. 88-98
Author(s):  
Chi Hong Leung ◽  
Simone Chung Ling Cheng
Keyword(s):  
Experiential Learning ◽  
Empirical Study ◽  
Knowledge Acquisition ◽  
Knowledge Sharing ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Real World ◽  
The Future ◽  
Personal Assistants ◽  
Real World Problems

This paper discusses how experiential learning and mobile learning can be integrated to facilitate knowledge acquisition and knowledge sharing among students, and equip students with the abilities to solve real-world problems in a ubiquitous manner. Running in a cyclic manner, experiential learning guides students to interpret why something happened, plan what should be done in the future, collect and manipulate facts and data, and experience and reveal what they learnt. With the capabilities of current mobile devices (like virtual personal assistants), experiential learning can be implemented with a higher level of effectiveness. The results reveal that experiential learning is beneficial for learners who believe it can help them to solve practical problems and the usage of mobile devices can offer flexibility to study and address the diversity of learners’ needs.

Review of Algorithmic Aspects of Machine Learning By Ankur Moitra

2021 ◽  
Vol 52 (1) ◽  
pp. 9-11
Author(s):  
Sarvagya Upadhyay
Keyword(s):  
Machine Learning ◽  
Real World ◽  
Learning Algorithms ◽  
Technological Advancement ◽  
The Past ◽  
Learning Tasks ◽  
Hard Problems ◽  
Algorithmic Techniques ◽  
Computational Resources ◽  
Real World Problems

Over the past two decades, machine learning has seen tremendous development in practice. Technological advancement and increased computational resources have enabled several learning algorithms to become quite useful in practice. Although many families of learning algorithms are heuristic in nature, their usefulness cannot be understated. Empirical observations coupled with abundance of new datasets have led to development of novel algorithmic techniques that aim to accomplish a variety of learning tasks efficiently on real-world problems. But what makes these algorithms work on such real-world problems? Clearly, producing correct solutions is one aspect of it. The other aspect is efficiency. While many of these algorithms solve hard problems and cannot be theoretically efficient (under plausible complexity-theoretic assumptions), they seemingly do work on real-world problems. It begets the question: are there conditions under which these algorithms become tractable? Having an answer to this fundamental question sheds light on the power and limitations of these algorithmic techniques. This book focuses on different learning models and problems, and sets out to capture the assumptions that make certain algorithms tractable. The emphasis is on models and algorithmic techniques that make learning an efficient endeavor.

The Future of Muslim Education in the United States: An Agenda for Research

2003 ◽  
Vol 20 (3-4) ◽  
pp. 46-82
Author(s):  
Fathi Malkawi
Keyword(s):  
United States ◽  
The United States ◽  
American Education ◽  
Future Trends ◽  
Muslim Community ◽  
Short Term ◽  
The Future ◽  
Muslim Education ◽  
Future Plans

This paper addresses some of the Muslim community’s concerns regarding its children’s education and reflects upon how education has shaped the position of other communities in American history. It argues that the future of Muslim education will be influenced directly by the present realities and future trends within American education in general, and, more importantly, by the well-calculated and informed short-term and long-term decisions and future plans taken by the Muslim community. The paper identifies some areas in which a wellestablished knowledge base is critical to making decisions, and calls for serious research to be undertaken to furnish this base.

scholarly journals Mandatory annuitization and money's worth: evidence from Singapore

2021 ◽  
pp. 1-20
Author(s):  
Joelle H. Fong ◽  
Jackie Li
Keyword(s):  
Expected Value ◽  
Longevity Risk ◽  
Future Trends ◽  
The Past ◽  
The Future ◽  
Population Mortality ◽  
Mortality Improvement ◽  
Life Annuities ◽  
Compulsory Purchase ◽  
The Impact

Abstract This paper examines the impact of uncertainties in the future trends of mortality on annuity values in Singapore's compulsory purchase market. We document persistent population mortality improvement trends over the past few decades, which underscores the importance of longevity risk in this market. Using the money's worth framework, we find that the life annuities delivered expected payouts valued at 1.019–1.185 (0.973–1.170) per dollar of annuity premium for males (females). Even in a low mortality improvement scenario, the annuities provide an expected value exceeding 0.950. This suggests that participants in the national annuity pool have access to attractively priced annuities, regardless of sex, product, and premium invested.

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