scholarly journals Improving judgment accuracy by sequential adjustment

2020 ◽  
Vol 27 (1) ◽  
pp. 170-177
Author(s):  
Shenghua Luan ◽  
Lael J. Schooler ◽  
Jolene H. Tan
Keyword(s):  
College Students ◽  
Fuel Economy ◽  
Real World ◽  
Sequential Procedure ◽  
Cue Integration ◽  
Simple Method ◽  
Judgment Accuracy ◽  
A Value ◽  
Simultaneous Procedure

AbstractJudging an object’s value based on relevant cues can be challenging. We propose a simple method to improve judgment accuracy: Instead of estimating a value after seeing all available cues simultaneously, individuals view cues sequentially, one after another, making and adjusting their estimate at each step. The sequential procedure may alleviate computational difficulties in cue integration, leading to higher judgment accuracy. We tested this hypothesis in two real-world tasks in which participants judged either the price of diamonds or the fuel economy of cars. Two studies with professional jewelers and car salespeople show that most participants indeed judged more accurately with a sequential than with a simultaneous procedure. Another two studies with college students further support this finding and show additionally that the sequential procedure could raise the judgment accuracy of inexperienced students to the same level as that of professionals judging with the simultaneous procedure.

On Considering Constraints of Different Importance in Fuzzy Constraint Satisfaction Problems

1998 ◽  
Vol 06 (05) ◽  
pp. 489-501 ◽  
Author(s):  
Vicenç Torra I Reventós
Keyword(s):  
Constraint Satisfaction ◽  
Real World ◽  
Constraint Satisfaction Problems ◽  
Human Reasoning ◽  
Fuzzy Constraints ◽  
A Value ◽  
Equal Importance ◽  
Real World Applications ◽  
Fuzzy Constraint ◽  
Fuzzy Constraint Satisfaction

Several real-world applications (e.g., scheduling, configuration, …) can be formulated as Constraint Satisfaction Problems (CSP). In these cases, a set of variables have to be settled to a value with the requirement that they satisfy a set of constraints. Classical CSPs are defined only by means of crisp (Boolean) constraints. However, as sometimes Boolean constraints are too strict in relation to human reasoning, fuzzy constraints were introduced. When fuzzy constraints are considered, human reasoning usually performs some compensation between alternatives. Thus other operators than t-norms are advisable. Besides of that, not all constraints can be considered with equal importance. In this paper we show that the WOWA operator can consider both aspects: compensation between constraints and constraints of different importance.

scholarly journals Multi-Issue Negotiation with Deadlines

2006 ◽  
Vol 27 ◽  
pp. 381-417 ◽  
Author(s):  
S. S. Fatima ◽  
M. J. Wooldridge ◽  
N. R. Jennings
Keyword(s):  
Autonomous Agents ◽  
The Other ◽  
Sequential Procedure ◽  
Time Constraints ◽  
Information Uncertainty ◽  
Optimal Outcomes ◽  
Discount Factors ◽  
Simultaneous Procedure ◽  
Unique Outcome ◽  
Better Than

This paper studies bilateral multi-issue negotiation between self-interested autonomous agents. Now, there are a number of different procedures that can be used for this process; the three main ones being the package deal procedure in which all the issues are bundled and discussed together, the simultaneous procedure in which the issues are discussed simultaneously but independently of each other, and the sequential procedure in which the issues are discussed one after another. Since each of them yields a different outcome, a key problem is to decide which one to use in which circumstances. Specifically, we consider this question for a model in which the agents have time constraints (in the form of both deadlines and discount factors) and information uncertainty (in that the agents do not know the opponent's utility function). For this model, we consider issues that are both independent and those that are interdependent and determine equilibria for each case for each procedure. In so doing, we show that the package deal is in fact the optimal procedure for each party. We then go on to show that, although the package deal may be computationally more complex than the other two procedures, it generates Pareto optimal outcomes (unlike the other two), it has similar earliest and latest possible times of agreement to the simultaneous procedure (which is better than the sequential procedure), and that it (like the other two procedures) generates a unique outcome only under certain conditions (which we define).

scholarly journals Asymmetric-Slit Method on WiFi Antenna with 2.4 GHz and 5 GHz Frequency

2020 ◽  
Vol 4 (2) ◽  
pp. 53
Author(s):  
Petrus Kerowe Goran ◽  
Eka Setia Nugraha
Keyword(s):  
Microstrip Antenna ◽  
Return Loss ◽  
Antenna Design ◽  
The Internet ◽  
Information Searching ◽  
Simple Method ◽  
A Value ◽  
Simulation Results ◽  
5 Ghz ◽  
Antenna Model

Wireless Fidelity (WiFi) devices are often used to access the internet network, both for working and in information searching. Accessing the internet can be administered anywhere provided that the area is within the WiFi devices range. A WiFi device uses 2.4 GHz and 5 GHz operating frequencies. There were several methods employed in the previous studies so that an antenna design could work in two different frequencies, i.e., winding bowtie method, Sierpinski method, and double-circular method. This paper employed a simple method, the slit method. The objective of this paper is to discover a simple antenna model that works on 2.4 GHz and 5 GHz frequencies. This paper employed a square patch microstrip antenna with a slit method. The dimensions of the designed square patch microstrip antenna were 42.03 mm × 27.13 mm × 0.035 mm. The antenna worked at 2.4 GHz and 5 GHz frequencies. The obtained simulation results after the optimization showed that the square patch microstrip antenna using the slit method acquired a value of S11 (return loss) of -10.15 dB at a frequency of 2.4 GHz and -37.315 dB at a frequency of 5 GHz.

A Simple Method for Estimating the Parameters of the Beta Distribution Applied to Modeling Uncertainty in Gas Turbine Inlet Temperature

2002 ◽  
Author(s):  
Frederic A. Holland
Keyword(s):  
Standard Deviation ◽  
Conventional Method ◽  
Beta Distribution ◽  
Conventional Approach ◽  
Algebraic Solution ◽  
Inlet Temperature ◽  
Shape Parameters ◽  
Simple Method ◽  
New Approach ◽  
A Value

The beta distribution is a particularly convenient model for random variables when only the minimum, maximum and most likely values are available. It is also very useful for estimating the mean and standard deviation given this information. In this paper a simple method is proposed to estimate the beta parameters from these three values. The proposed method has advantages over the conventional approach. In the conventional approach, the four parameters of the beta distribution are determined from only three values by assuming a standard deviation that is one-sixth the range. In contrast, the new method assumes a value for one of the beta shape parameters based on an analogy with the normal distribution. This new approach allows for a very simple algebraic solution of the beta shape parameters in contrast to the simultaneous solution required by the conventional method. The results of the proposed method are very similar to the conventional method. However, the proposed method generally gives a slightly higher (more conservative) estimate of the standard deviation when the distribution is skewed. In addition, the new approach allows the standard deviation to vary as the shape or skew of the distribution varies. Both methods were applied to modeling the probability distribution of temperature.

Benchmarking Fuel Economy of Connected and Automated Vehicles in Real World Driving Conditions via Monte Carlo Simulation

2020 ◽  
Author(s):  
Shreshta Rajakumar Deshpande ◽  
Shobhit Gupta ◽  
Dennis Kibalama ◽  
Nicola Pivaro ◽  
Marcello Canova
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Fuel Economy ◽  
Real World ◽  
Human Subjects ◽  
Driver Model ◽  
Traffic Information ◽  
Vehicle Speed ◽  
Instrumented Vehicle ◽  
The Impact

Abstract Connectivity and automation have accelerated the development of algorithms that use route and real-time traffic information for improving energy efficiency. The evaluation of such benefits, however, requires establishing a reliable baseline that is representative of a real-world driving environment. In this context, virtual driver models are generally adopted to predict the vehicle speed based on route data and presence of lead vehicles, in a way that mimics the response of human drivers. This paper proposes an Enhanced Driver Model (EDM) that forecasts the human response when driving in urban conditions, considering the effects of Signal Phasing and Timing (SPaT) by introducing the concept of Line-of-Sight (LoS). The model was validated against data collected on an instrumented vehicle driven on public roads by different human subjects. Using this model, a Monte Carlo simulation is conducted to determine the statistical distribution of fuel consumption and travel time on a given route, varying driver behavior (aggressiveness), traffic conditions and SPaT. This allows one to quantify the impact of uncertainties associated to real-world driving in fuel economy estimates.

Minority College Students and Digital Agency

2019 ◽  
pp. 103-135
Author(s):  
Charlotte Baker ◽  
Rebecca J. Blankenship
Keyword(s):  
Higher Education ◽  
College Students ◽  
Graduate Students ◽  
Real World ◽  
Digital Literacy ◽  
Colleges And Universities ◽  
Preservice Teacher Training ◽  
Minority College Students ◽  
Digital Agency ◽  
Workplace Setting

As noted in the 2017 Horizon Report on Higher Education, it is no longer enough to simply graduate with a degree in a particular discipline; the Hart Research Associates Report also emphasizes the point that employers are requesting that colleges and universities place more emphasis on practical and real-world skills rather than focusing on competencies in broader disciplinary theories that may never be applied practically in the daily workplace setting. In this chapter, the authors look at two specific examples: preservice teacher training and the training of graduate students in epidemiology (STEM). The purpose of this qualitative analysis is to examine and compare the literature related to two primary concepts: (1) access to technology and digital literacy of minority college students and (2) minority serving institution (MSI) response to promoting digital literacy among faculty and students enrolled in clinically based programs.

The Diversity Horizon

2021 ◽  
pp. 231-250
Keyword(s):  
College Students ◽  
Potential Role ◽  
Job Market ◽  
Careful Planning ◽  
Crystal Ball ◽  
A Value ◽  
The World ◽  
The Future

As they prepare for graduation, college students often make numerous plans for the future. They consider the job market and prospects for marriage, family, and other relationships. Pursuing a diversity-rich future is also important, and in this chapter, the five interviewees discuss the potential role of culture in their post-college lives. Additional considerations include looking at the world through a global lens, approaching diversity as a value, and engaging the outrage of those who have suffered at the hands of injustice. Though even the best crystal ball cannot predict what will happen tomorrow, today's careful planning with sensitivity towards culture may be sufficient for ensuring a brighter road ahead.

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