President's Report: Linking Yesterday to Tomorrow

1994 ◽  
Vol 25 (5) ◽  
pp. 512-522
Author(s):  
Mary M. Lindquist
Keyword(s):  
Annual Meeting ◽  
Real World ◽  
Task Forces ◽  
Professional Groups ◽  
The Past ◽  
The One ◽  
Real World Problems ◽  
And Task

“Linkages,” our theme for this year's annual meeting, represents more than lin king yeste rday to tomorrow. It is about linking today. We need to link in many ways—with members, with each of the Affiliated Groups, with our committees and task forces, with the Headquarters staff, and with other professional groups. Most important, we need to link with our students, who are facing a much different world from the one that many of us experienced as students. We need to help them link ideas within mathematics and between mathematical topics and link mathematics to real-world problems. We need to strengthen many of our links, forge new ones, and sever some links to the past.

National Council of Teachers of Mathematics: Linking Yesterday to Tomorrow

1994 ◽  
Vol 87 (6) ◽  
pp. 467-472
Author(s):  
Mary M. Lindquist
Keyword(s):  
Annual Meeting ◽  
Real World ◽  
National Council ◽  
Task Forces ◽  
Professional Groups ◽  
The Past ◽  
The One ◽  
Real World Problems ◽  
And Task

“Linkages,” our theme for this year's annual meeting, represents more than linking yesterday to tomorrow. It is about linking today. We need to link in many ways-with members, with each of the Affiliated Groups, with our committees and task forces, with the Headquarters staff, and with other professional groups. Most important, we need to link with our students, who are facing a much different world from the one that many of us experienced as students. We need to help them link ideas within mathematics and between mathematical topics and link mathematics to real-world problems. We need to strengthen many of our links, forge new ones, and sever some links to the past.

National Council of Teachers of Mathematics: Linking Yesterday to Tomorrow

1994 ◽  
Vol 1 (2) ◽  
pp. 174-179
Author(s):  
Mary M. Lindquist
Keyword(s):  
Annual Meeting ◽  
Real World ◽  
National Council ◽  
Task Forces ◽  
Professional Groups ◽  
The Past ◽  
The One ◽  
Real World Problems ◽  
And Task

“Linkages,” Our Theme For This year's annual meeting, represents more than linking yesterday to tomorrow. It is about linking today. We need to link in many ways-with members, with each of the Affiliated Groups, with our committees and task forces, with the Headquarters staff, and with other professional groups. Most important, we need to link with our students. who are facing a much different world from the one that many of us experienced as students. We need to help them link ideas within mathematics and between mathematical topics and link mathematics to real-world problems. We need to strengthen many of our links, forge new ones, and sever some links to the past.

Enacting Actions in Simulated Environments

2009 ◽  
Author(s):  
Devin Pierce ◽  
Shulan Lu ◽  
Derek Harter
Keyword(s):  
Human Body ◽  
Common Sense ◽  
Real World ◽  
Mental Representations ◽  
The Past ◽  
Simulated Environments ◽  
The World ◽  
The Common ◽  
Bodily States ◽  
Real World Problems

The past decade has witnessed incredible advances in building highly realistic and richly detailed simulated worlds. We readily endorse the common-sense assumption that people will be better equipped for solving real-world problems if they are trained in near-life, even if virtual, scenarios. The past decade has also witnessed a significant increase in our knowledge of how the human body as both sensor and as effector relates to cognition. Evidence shows that our mental representations of the world are constrained by the bodily states present in our moment-to-moment interactions with the world. The current study investigated whether there are differences in how people enact actions in the simulated as opposed to the real world. The current study developed simple parallel task environments and asked participants to perform actions embedded in a stream of continuous events (e.g., cutting a cucumber). The results showed that participants performed actions at a faster speed and came closer to incurring injury to the fingers in the avatar enacting action environment than in the human enacting action environment.

The Struggle to Link Written Symbols with Understandings: An Update

1989 ◽  
Vol 36 (7) ◽  
pp. 38-44
Author(s):  
James Hiebert
Keyword(s):  
Young Children ◽  
Real World ◽  
Mathematics Learning ◽  
Older Children ◽  
Simple Addition ◽  
Addition And Subtraction ◽  
The One ◽  
Real World Problems

Two of the most striking and informative results from recent research on children's mathematics learning are the following. On the one hand, many children possess a surprising degree of competence with mathematical situations outside of school. For example, before beginning school, most young children can solve simple addition and subtraction stories, such as “Mary has 8 pennies. She gives 3 pennies to Roger. How many does she have left?” (Carpenter and Moser 1984; DeCorte and Verschaffel 1987; Riley, Greeno, and Heller 1983). In other words, before children have been taught how to add and subtract, they can solve addition and s ubtraction problems. Similarly, older children, as well as adults, can solve a variety of real-world problems using strategies that they have not learned directly in school (Carraher, Carraher, and Schliemann 1987; Lave, Murtaugh, and de Ia Rocha 1984; Scdbner 1984).

scholarly journals The urban question in the context of the “double world”

2019 ◽  
Vol 2 (1) ◽  
pp. 108
Author(s):  
Stella Kyvelou
Keyword(s):  
Real World ◽  
The Other ◽  
Modern World ◽  
Material World ◽  
Urban Planner ◽  
The Past ◽  
Material Reality ◽  
The Difference ◽  
The One ◽  
Common World

Once the principle of the inseparability of the material world and cyber territory has been admitted, the question put to the urban planner is being transformed. The transition from the representation of two separate worlds - the physical on the one hand and the digital on the other - to a representation of a “double world” in the sense of the indivisible inter-connection of the physical and the digital, leads to a change of paradigm in abstraction and representation. By accepting the principle of considering the material world and the cyber territory (and not cyberspace) as an indivisible whole, we come up to realize that the urban question changes. If, in the past, our thoughts and studies were aimed at seeking a common world that we should discover and maintain, the modern world is not presumed to belong exclusively in the material reality. The planner’s work, therefore, should certainly take into account this interconnection, the discontinuous, fragmentary involvement, of matter and information. However, this phenomenon is not new since the symbolic dimension of cities, architecture and space in general has always closely interwoven representation and the real world. The difference is that there was then a connection with a particular territory or a national identity. Today, this ancient territorial reference is weakening, although there are signs of reversion to it. Based on these observations, the paper will discuss the evolution of the urban question under the assumption of the indivisible “double world” and the augmented territories.

Decomposition Algorithms for a Multi-Hard Problem

2018 ◽  
Vol 26 (3) ◽  
pp. 507-533 ◽  
Author(s):  
M. R. Przybylek ◽  
A. Wierzbicki ◽  
Z. Michalewicz
Keyword(s):  
Systematic Study ◽  
Real World ◽  
Optimization Problems ◽  
Decomposition Algorithms ◽  
Hard Problem ◽  
The Past ◽  
Real World Problems

Real-world optimization problems have been studied in the past, but the work resulted in approaches tailored to individual problems that could not be easily generalized. The reason for this limitation was the lack of appropriate models for the systematic study of salient aspects of real-world problems. The aim of this article is to study one of such aspects: multi-hardness. We propose a variety of decomposition-based algorithms for an abstract multi-hard problem and compare them against the most promising heuristics.

Communicating Advice: Introduction to the Special Issue

2020 ◽  
Vol 39 (3) ◽  
pp. 287-291
Author(s):  
Erina L. MacGeorge
Keyword(s):  
Social Support ◽  
Social Influence ◽  
Real World ◽  
Cultural Context ◽  
Special Issue ◽  
The Past ◽  
Methodological Improvement ◽  
Scholarly Attention ◽  
Real World Problems

Advice is a ubiquitous and consequential form of social support and social influence in virtually every social and cultural context, and has therefore garnered considerable scholarly attention over the past two decades, including the development of several theories specific to explaining advice evaluation and outcomes. The studies selected for this special issue extend existing theory through critique, extension, and integration; showcase methodological improvement and innovation; and illustrate meaningful application of theory and research to address real-world problems.

scholarly journals An Ensemble Framework of Evolutionary Algorithm for Constrained Multi-Objective Optimization

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 116
Author(s):  
Junhua Ku ◽  
Fei Ming ◽  
Wenyin Gong
Keyword(s):  
Evolutionary Algorithms ◽  
Real World ◽  
Optimization Problems ◽  
State Of The Art ◽  
Multi Objective Optimization ◽  
The Real ◽  
Multi Objective ◽  
The Past ◽  
Hypervolume Indicator ◽  
Real World Problems

In the real-world, symmetry or asymmetry widely exists in various problems. Some of them can be formulated as constrained multi-objective optimization problems (CMOPs). During the past few years, handling CMOPs by evolutionary algorithms has become more popular. Lots of constrained multi-objective optimization evolutionary algorithms (CMOEAs) have been proposed. Whereas different CMOEAs may be more suitable for different CMOPs, it is difficult to choose the best one for a CMOP at hand. In this paper, we propose an ensemble framework of CMOEAs that aims to achieve better versatility on handling diverse CMOPs. In the proposed framework, the hypervolume indicator is used to evaluate the performance of CMOEAs, and a decreasing mechanism is devised to delete the poorly performed CMOEAs and to gradually determine the most suitable CMOEA. A new CMOEA, namely ECMOEA, is developed based on the framework and three state-of-the-art CMOEAs. Experimental results on five benchmarks with totally 52 instances demonstrate the effectiveness of our approach. In addition, the superiority of ECMOEA is verified through comparisons to seven state-of-the-art CMOEAs. Moreover, the effectiveness of ECMOEA on the real-world problems is also evaluated for eight instances.

scholarly journals Neutrosophic Environment for Traffic Control Management

2020 ◽  
pp. 47-53
Author(s):  
admin admin ◽  
◽  
◽  
◽  
Said Broumi ◽  
...  
Keyword(s):  
Flow Control ◽  
Traffic Flow ◽  
Real World ◽  
Traffic Control ◽  
Vital Role ◽  
Neutrosophic Sets ◽  
The Past ◽  
Decision Making Problem ◽  
Control Management ◽  
Real World Problems

Neutrosophic along with its environment development over the past decades. Neutrosophic environment is apply to various applications in logic,statstics,albebra, neural networks and several other fields. Neutrosophic sets has been presented to handle the indeterminacy in real-world decision-making problem. Real world problems have some kind of uncertainty in nature and one of the influential problem in environment. Neutrosophic environment results are apply to a new dimension in traffic control. Neutrosophic is the vital role on traffic flow control . It is deal with membership , non membership and also indeterminacy of the data as well. The advantage of the neutrosophic environment is to find the optimized result of the system choosing the best alternative.In this paper, traffic flow control is analyzed under neutrosophic environment using MATLAB.

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.

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