EconPapers    
Economics at your fingertips  
 

Bounded Rationality and Artificial Intelligence

Herbert Dawid
Additional contact information
Herbert Dawid: University of Vienna, Department of Management Science

Chapter 2 in Adaptive Learning by Genetic Algorithms, 1999, pp 7-39 from Springer

Abstract: Abstract The traditional and most widely used approach for the analysis of economic systems is concentrated on equilibrium behavior. We may say that an equilibrium in the broadest sense is a situation where no agent has any incentive to deviate unilaterally from the current behavior. There are several equilibrium concepts for different classes of economic models but all these concepts rely on similar assumptions about the rationality of the economic agents. Basically, two assumptions have to be made in order to state that an economic system will a priori be in equilibrium. First we have to assume that all agents are willing and able to maximize their expected utility and second that all agents have rational expectations. Rational expectations means that all agents have identical and exactly correct beliefs about how everyone will behave. Agents who fulfill both assumptions are often called completely rational.

Keywords: Cellular Automaton; Cellular Automaton; Rational Expectation; Intelligent Agent; Bound Rationality (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-18142-9_2

Ordering information: This item can be ordered from
http://www.springer.com/9783642181429

DOI: 10.1007/978-3-642-18142-9_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-02-19
Handle: RePEc:spr:sprchp:978-3-642-18142-9_2