Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (110)
- Computer Sciences (57)
- Applied Mathematics (41)
- Mathematics (24)
- Education (10)
-
- Economics (9)
- Social and Behavioral Sciences (9)
- Computer Engineering (8)
- Engineering (8)
- Physics (7)
- Higher Education (4)
- Behavioral Economics (2)
- Medicine and Health Sciences (2)
- Algebraic Geometry (1)
- Artificial Intelligence and Robotics (1)
- Data Science (1)
- Disease Modeling (1)
- Diseases (1)
- Econometrics (1)
- Gifted Education (1)
- Online and Distance Education (1)
- Public Health (1)
- Robotics (1)
- Statistics and Probability (1)
- Keyword
-
- Technical Reports (31)
- UTEP Computer Science Department (30)
- Absolute error (1)
- Adversarial thinking (1)
- Android (1)
-
- Anisotropy (1)
- Auxiliary vs major-related topics (1)
- Calculus (1)
- Central Limit Theorem (1)
- Code complexity (1)
- Ellipsoids (1)
- Human-centered computing (1)
- Indirect measurements (1)
- Infinitely divisible distributions (1)
- Interval computations (1)
- Interval uncertainty (1)
- Java (1)
- Just-in-time teaching (1)
- Maximum Entropy approach (1)
- Measurement error (1)
- Measurement uncertainty (1)
- Mobile app (1)
- Mobile computing (1)
- Monotonicity (1)
- NP-hard problems (1)
- Objective function (1)
- Optimal arrangement (1)
- Optimal student performance (1)
- Optimal teaching (1)
- Precision (1)
Articles 121 - 125 of 125
Full-Text Articles in Entire DC Network
Predictably (Boundedly) Rational: Examples Of Seemingly Irrational Behavior Can Be Quantitatively Explained By Bounded Rationality, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
Predictably (Boundedly) Rational: Examples Of Seemingly Irrational Behavior Can Be Quantitatively Explained By Bounded Rationality, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
Traditional economics is based on the simplifying assumption that people behave perfectly rationally, that before making any decision, a person thoroughly analyzes all possible situations. In reality, we often do not have enough time to thoroughly analyze all the available information, as a result of which we make decisions of bounded rationality -- bounded by our inability to perform a thorough analysis of the situation. So, to predict human behavior, it is desirable to study how people actually make decisions. The corresponding area of economics is known as behavioral economics. It is known that many examples of seemingly irrational behavior …
A Mystery Of Human Biological Development -- Can It Be Used To Speed Up Computations?, Olga Kosheleva, Vladik Kreinovich
A Mystery Of Human Biological Development -- Can It Be Used To Speed Up Computations?, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
For many practical problems, the only known algorithms for solving them require non-feasible exponential time. To make computations feasible, we need an exponential speedup. A reasonable way to look for such possible speedup is to search for real-life phenomena where such a speedup can be observed. A natural place to look for such a speedup is to analyze the biological activities of human beings -- since we, after all, solve many complex problems that even modern super-fast computers have trouble solving. Up to now, this search was not successful -- e.g., there are people who compute much faster than others, …
Physical Randomness Can Help In Computations, Olga Kosheleva, Vladik Kreinovich
Physical Randomness Can Help In Computations, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
Can we use some so-far-unused physical phenomena to compute something that usual computers cannot? Researchers have been proposing many schemes that may lead to such computations. These schemes use different physical phenomena ranging from quantum-related to gravity-related to using hypothetical time machines. In this paper, we show that, in principle, there is no need to look into state-of-the-art physics to develop such a scheme: computability beyond the usual computations naturally appears if we consider such a basic notion as randomness.
Need For Simplicity And Everything Is A Matter Of Degree: How Zadeh's Philosophy Is Related To Kolmogorov Complexity, Quantum Physics, And Deep Learning, Vladik Kreinovich, Olga Kosheleva, Andres Ortiz-Muñoz
Need For Simplicity And Everything Is A Matter Of Degree: How Zadeh's Philosophy Is Related To Kolmogorov Complexity, Quantum Physics, And Deep Learning, Vladik Kreinovich, Olga Kosheleva, Andres Ortiz-Muñoz
Departmental Technical Reports (CS)
Many people remember Lofti Zadeh's mantra -- that everything is a matter of degree. This was one of the main principles behind fuzzy logic. What is somewhat less remembered is that Zadeh also used another important principle -- that there is a need for simplicity. In this paper, we show that together, these two principles can generate the main ideas behind such various subjects as Kolmogorov complexity, quantum physics, and deep learning. We also show that these principles can help provide a better understanding of an important notion of space-time causality.
Why Immediate Repetition Is Good For Short-Time Learning Results But Bad For Long-Time Learning: Explanation Based On Decision Theory, Laxman Bokati, Julio Urenda, Olga Kosheleva, Vladik Kreinovich
Why Immediate Repetition Is Good For Short-Time Learning Results But Bad For Long-Time Learning: Explanation Based On Decision Theory, Laxman Bokati, Julio Urenda, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
It is well known that repetition enhances learning; the question is: when is a good time for this repetition? Several experiments have shown that immediate repetition of the topic leads to better performance on the resulting test than a repetition after some time. Recent experiments showed, however, that while immediate repetition leads to better results on the test, it leads to much worse performance in the long term, i.e., several years after the material have been studied. In this paper, we use decision theory to provide a possible explanation for this unexpected phenomenon.