Decision Theory and Choices: a Complexity Approach

von: Marisa Faggini, Concetto Paolo Vinci

Springer-Verlag, 2010

ISBN: 9788847017788 , 240 Seiten

Format: PDF, OL

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX geeignet für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's Online-Lesen für: Windows PC,Mac OSX,Linux

Preis: 106,99 EUR

  • Modernes Krankenhausmanagement - Konzepte und Lösungen
    Qualitätskriterien für die Simulation in Produktion und Logistik - Planung und Durchführung von Simulationsstudien
    Enterprise Interoperability II - New Challenges and Approaches
    Assessment-Center
    Mitarbeiterbefragung - was dann...? MAB und Folgeprozesse erfolgreich gestalten
    Six Sigma - Methoden und Statistik für die Praxis
  • Methodik für eine selbstoptimierende Produktionssteuerung
    Online-Qualitätssicherung beim Bohren mittels ultrakurz gepulster Laserstrahlung

     

     

     

     

     

     

     

 

Mehr zum Inhalt

Decision Theory and Choices: a Complexity Approach


 

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.