On Rational Choice and the Representation of Decision Problems

In economic theory, an agent chooses from available alternatives—modeled as a set. In decisions in the field or in the lab, however, agents do not have access to the set of alternatives at once. Instead, alternatives are represented by the outside world in a structured way. Online search results are lists of items, wine menus are often lists of lists (grouped by type or country), and online shopping often involves filtering items which can be viewed as navigating a tree. Representations constrain how an agent can choose. At the same time, an agent can also leverage representations when choosing, simplifying their choice process. For instance, in the case of a list he or she can use the order in which alternatives are represented to make their choice. In this paper, we model representations and decision procedures operating on them. We show that choice procedures are related to classical choice functions by a canonical mapping. Using this mapping, we can ask whether properties of choice functions can be lifted onto the choice procedures which induce them. We focus on the obvious benchmark: rational choice. We fully characterize choice procedures which can be rationalized by a strict preference relation for general representations including lists, list of lists, trees and others. Our framework can thereby be used as the basis for new tests of rational behavior. Classical choice theory operates on very limited information, typically budgets or menus and final choices. This is in stark contrast to the vast amount of data that specifically web companies collect about their users’ choice process. Our framework offers a way to integrate such data into economic choice models.

Organization of Interaction Between Participants in the Investment Process on the Basis of a systematic Justification of Multi-criteria choice

The implementation of investment projects in Russia is associated with a lot of different problems caused by non-financial factors. The high degree of uncertainty of the investment situation, the lack of awareness and subjectivity of the decision-makers on the investment choice, the unreasonableness of the selection criteria, as well as the difficulties in the interaction of actors are due to the lack of systematic mechanisms for managing the investment process in the Russian economy as a whole. Together, they form a fairly voluminous complex of related problems. The article is devoted to the study of these problems and ways to solve them. It focuses on the mutual influence of the organization of interaction between participants in the investment process and investment choice procedures.Purpose: to develop proposals for the formation of mechanisms for interaction between stakeholders to ensure a systematic justification of the investment choice.Methods: in the preparation of this article, the methodology of applied system analysis and modeling is implemented, decision-making methods are used, including the Analytical Hierarchy Process.Results: the importance of the pre-investment stage of the investment process as the stage that generates most of the problems of stakeholders is argued. The approach to building system mechanisms of interaction of participants of the investment process at the pre-investment stage is justified. The schemes of such interaction and procedures for making investment decisions are proposed within the framework of the constructed modified model of multi-criteria investment choice. The formation of systemic mechanisms of interaction between participants in the investment process is carried out based on the need for a systematic justification of the multi-criteria choice of an investment project, taking into account the interests of all interested parties. The proposed methodology was developed through the development and modification of the Analytical Hierarchy Process by T. Saati and is aimed at improving the organization of the investment process and the implementation of investment choice based on generalized criteria of satisfaction, efficiency and effectiveness.Сonclusions and Relevance: the formation of system mechanisms of interaction of participants in the investment process at the pre-investment stage was carried out by developing a set of procedures that accompany the process of justifying a multi-criteria investment choice to achieve satisfaction, efficiency and effectiveness of the activities of all actors. The formation of system mechanisms of interaction of participants in the investment process allows to coordinate their interests, opportunities and limitations of the participants' activities, as well as to give the investment process purposefulness and manageability.

Equitable Voting Rules

May's theorem (1952), a celebrated result in social choice, provides the foundation for majority rule. May's crucial assumption of symmetry, often thought of as a procedural equity requirement, is violated by many choice procedures that grant voters identical roles. We show that a weakening of May's symmetry assumption allows for a far richer set of rules that still treat voters equally. We show that such rules can have minimal winning coalitions comprising a vanishing fraction of the population, but not less than the square root of the population size. Methodologically, we introduce techniques from group theory and illustrate their usefulness for the analysis of social choice questions.

Characterization of Electre I choice procedures

This paper discusses choice procedures that select the set of best alternatives taking into account reflexive binary relations (called pseudo-tournaments in the paper), such as those that can be obtained when constructing an outranking relation à la Electre. The paper contains interesting results which link together the second “exploitation” step in the Electre I outranking method with two choice procedures (Gocha and Getcha choice procedures also known in the literature as Schwartz set and Smith set respectively). A set of results that characterize some properties of the two outranking methods (ElectI and ElectIP choice procedures) is also presented.

Constructing an Efficient Machine Learning Model for Tornado Prediction

Tornado prediction variables are analyzed using machine learning and decision analysis techniques. A model based on several choice procedures and the superposition principle is applied for different methods of data analysis. The constructed model has been tested on a database of tornadic events. It is shown that the tornado prediction model developed herein is more efficient than a previous set of machine learning models, opening the way to more accurate decisions.

Improving Accuracy of Emotion Detection using Brain Waves and Adaptive Swarm Intelligence

In recent year, Authors had been attempting to find or detect the feeling of human by recorded brain signal for example, EEG (electroencephalogram) alerts. Because of the unnecessary degrees of unwanted signal from EEG recording, a solitary feature alone can't accomplish great execution. Distinct feature is key for automatic feeling identification. Right now, we present an AI based scheme utilizing various features extricated from EEG recordings. The plan joins these particular highlights in feature space utilizing both managed and unaided component choice procedures. To re-request the joined highlights to max-importance with the names and min-repetition of each feature by applying Maximum Relevance Minimum Redundancy (MRMR). The produced highlights are additionally diminished with principal component analysis(PCA) for removing essential segments. Test report will be generated to show that the proposed work should outperform the condition of-workmanship techniques utilizing similar settings in real time dataset.

0494 Ability to Discontinue Chronic Hypnotic Use: An Update

Introduction Physicians prescribing hypnotics remain concerned regarding patient’s inability to discontinue hypnotics after chronic use. That concern has never been directly tested in a controlled prospective study using self-administration choice procedures. This is an update on results from an on-going “blinded” clinical trial in which insomnia subjects are instructed to stop taking their study medication after 6 months of nightly use. Methods DSM-V diagnosed insomnia subjects, aged 23-61 yrs, (n=31, 26 females), with disturbed sleep (i.e., polysomnographic sleep efficiency of ≤85%), no other sleep disorder, unstable medical or psychiatric diseases or drug dependency completed the trial. Participants were randomized to zolpidem XR (12.5 mg), eszopiclone (3 mg), or placebo nightly for 6 months (blinded groups A: n=11, B: n=9, C: n=11). After 6 months, nightly use, over a 2-week choice period, they were instructed to discontinue hypnotic use, but if necessary, to self-administer either 1, 2, or 3 capsules of their assigned medication (zolpidem XR 6.25 mg, 6.25 mg, placebo; eszopiclone 2 mg, 1 mg, placebo as capsules 1, 2 and 3 respectively; or 3 placebos). Results The number of capsules taken declined from week 1 to 2 (p< .001). Over the 2 weeks 15 participants took 0 (48%), 12 ≤ 6 (39%) and 4 ≥10 total capsules (1 each took 42, 19, 13, and 10). Among those taking capsules, most took one capsule per night and 6 took > 1 capsule. Those 4 taking ≥ 10 were younger (p<.05), but did not differ in screening sleep efficiency or blinded treatment group. Importantly 1 subject took every capsule available. Conclusion The majority (87%) of the participants discontinued 6-month nightly hypnotic use (i.e. took ≤ 6 total capsules) and among those taking capsules the rate declined from week 1 to 2. Age may help identify the few with difficulty discontinuing. Support NIDA, grant#: R01DA038177 awarded to Dr. Roehrs

Best Feature Selection using Modified Whale Optimization Algorithm for Prediction of Heart Disease

Coronary illness is the confusion of heart and blood veins. It is hard for restorative specialists and specialists to foresee precise about coronary illness determination. Information science is the majorobject in primary expectation and takes care of huge information issues nowadays. This examination paper portrays the expectation of coronary illness in restorative area by utilizing information science. The same number of inquiries about done research identified with that issue however the exactness of expectation is yet should have been improved. Thus, this exploration centers on highlight choice methods and calculations where numerous coronary illness datasets are utilized for experimentation investigation and to appearance the precision development. In this work Modified Whale Optimization (MWOA) is utilized for highlight determination reason. By utilizing the Rapid digger as apparatus; Random Forest, (ANN), Decision Tree(DT) and Naive Bayes(NB) calculations are utilized as highlight choice procedures and improvement is appeared in the outcomes by demonstrating the exactness. From the proposed investigation the Artificial Neural Network grouping system is document better outcomes regarding Accuracy, Recall, Precision and F-measure.

A theory of actions and habits: The interaction of rate correlation and contiguity systems in free-operant behavior

Contemporary theories of instrumental performance assume that responding can be controlled by two behavioral systems, one goal-directed that encodes the outcome of an action, and one habitual that reinforces the response strength of the same action. Here we present a model of free-operant behavior in which goal-directed control is determined by the correlation between the rates of the action and the outcome whereas the total prediction error generated by contiguous reinforcement by the outcome controls habitual response strength. The outputs of these two systems summate to generate a total response strength. This cooperative model addresses the difference in the behavioral impact of ratio and interval schedules, the transition from goal-directed to habitual control with extended training, the persistence of goal-directed control under choice procedures and following extinction, among other phenomena. In these respects, this dual-system model is unique in its account of free-operant behavior.