Fr. 228.00

Decision Theory and Choices: a Complexity Approach

English · Hardback

Shipping usually takes at least 4 weeks (title will be specially ordered)

Description

Read more

In economics agents are assumed to choose on the basis of rational calculations aimed at the maximization of their pleasure or profit. Formally, agents are said to manifest transitive and consistent preferences in attempting to maximize their utility in the presence of several constraints. They operate according to the choice imperative: given a set of alternatives, choose the best. This imperative works well in a static and simplistic framework, but it may fail or vary when 'the best' is changing continuously. This approach has been questioned by a descriptive approach that springing from the complexity theory tries to give a scientific basis to the way in which individuals really choose, showing that those models of human nature is routinely falsified by experiments since people are neither selfish nor rational. Thus inductive rules of thumb are usually implemented in order to make decisions in the presence of incomplete and heterogeneous information sets.

List of contents

General Issues.- Coherence, Complexity and Creativity: the Dynamics of Decision Making.- Complexity Theoretic Bounded Rationality and Satisficing.- Optimisation and "Thoughtful Conjecturing" as Principles of Analytical Guidance in Social Decision Making.- Agent Based Models.- A New Agent-based Tool to Build Artificial Worlds.- Exploration Modes and Its Impact on Industry Profitability.- Financial Fragility and Interacting Units: an Exercise.- Techniques and Tools.- Using Homogeneous Groupings in Portfolio Management.- Elman Nets for Credit Risk Assessment.- Modeling from Physics.- From Chemical Kinetics to Models of Acquisition of Information: On the Importance of the Rate of Acquisition of Information.- Thermodynamic-like Approach to Complexity of the Financial Market (in the Light of the Present Financial Crises).- A Physicist's Approach to Phase Controlling Chaotic Economic Models.- Related Issues.- A Note on Complaints and Deprivation.- Predictability of SOC Systems. Technological Extreme Events.- Ontology Based Risk Management.

Summary

In economics agents are assumed to choose on the basis of rational calculations aimed at the maximization of their pleasure or profit. Formally, agents are said to manifest transitive and consistent preferences in attempting to maximize their utility in the presence of several constraints. They operate according to the choice imperative: given a set of alternatives, choose the best. This imperative works well in a static and simplistic framework, but it may fail or vary when 'the best' is changing continuously. This approach has been questioned by a descriptive approach that springing from the complexity theory tries to give a scientific basis to the way in which individuals really choose, showing that those models of human nature is routinely falsified by experiments since people are neither selfish nor rational. Thus inductive rules of thumb are usually implemented in order to make decisions in the presence of incomplete and heterogeneous information sets.

Product details

Assisted by Maris Faggini (Editor), Marisa Faggini (Editor), Paolo Vinci (Editor), Paolo Vinci (Editor), Concetto Paolo Vinci (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 08.10.2010
 
EAN 9788847017771
ISBN 978-88-470-1777-1
No. of pages 251
Weight 632 g
Illustrations XIV, 251 p.
Series New Economic Windows
New Economic Windows
Subjects Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics
Social sciences, law, business > Business > General, dictionaries

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.