Burrows–Abadi–Needham logic: Difference between revisions

From formulasearchengine
Jump to navigation Jump to search
en>Yobot
m WP:CHECKWIKI error fixes - Replaced special characters in sortkey using AWB (9095)
Link is dead. This chapter covers notation and process.
 
Line 1: Line 1:
{{Multiple issues|talk=December 2012|
Excited to meet you! Simple name is Eusebio yet I think it sounds quite good when a person will say it. As a man what My husband and i really like is representing but I'm thinking with regards to starting something new. I work as an get clerk. My house is so now in South Carolina in addition I don't plan  [http://wordpress.org/search/changing changing] it. You is likely to find my website here: http://prometeu.net<br><br>Have a look at my webpage [http://prometeu.net clash of clans hack android]
{{lead too short|date=December 2012}}
{{cleanup|reason=the article includes only brief general explanation before moving into technical detail|date=December 2012}}
{{More footnotes|date=December 2012}}
}}
 
[[File:Daniel KAHNEMAN.jpg|thumb|180px|[[Daniel Kahneman]], who won a [[Nobel Memorial Prize in Economic Sciences|Nobel Memorial Prize in Economics]] for his work developing Prospect theory.]]
'''Prospect theory''' is a [[Behavioral economics|behavioral economic theory]] that describes the way people choose between [[probabilistic]] alternatives that involve [[risk]], where the probabilities of outcomes are known. The theory states that people make decisions based on the potential value of losses and [[Gain (finance)|gains]] rather than the final outcome, and that people evaluate these losses and gains using certain [[heuristics in judgment and decision making|heuristics]].  The model is [[descriptive]]: it tries to model real-life choices, rather than [[optimal decision]]s.
The theory was developed by [[Daniel Kahneman]] and [[Amos Tversky]] in 1979 as a [[psychology|psychologically]] more accurate description of decision making, comparing to the [[expected utility hypothesis|expected utility theory]]. In the original formulation the term ''prospect'' referred to a [[lottery]]{{citation needed|date=November 2011}}.
 
The paper "Prospect Theory: An Analysis of Decision under Risk"<ref>http://www.princeton.edu/~kahneman/docs/Publications/prospect_theory.pdf</ref> has been called a "seminal paper in [[behavioral economics]]".<ref name=rationality>{{cite journal|coauthors=Eldar Shafir and Robyn A. LeBoeuf|title=Rationality|journal=Annual Review of Psychology|date=February 2002|volume=53|pages=491–517|doi=10.1146/annurev.psych.53.100901.135213|url=http://www.annualreviews.org/doi/abs/10.1146/annurev.psych.53.100901.135213|accessdate=April 23, 2012|pmid=11752494}}</ref>
 
==Model==
[[File:Valuefun.jpg|right|250px]]
The theory describes the decision processes in two stages: editing and evaluation.
During editing, outcomes of a decision are ordered according to certain [[heuristics in judgment and decision making|heuristic]].  In particular, people decide which outcomes they consider equivalent, set a [[reference point]] and then consider lesser outcomes as losses and greater ones as gains. The editing phase aims to  alleviate any [[Framing effect (psychology)|Framing effects]].<ref>Kahneman, Daniel, and Amos Tversky. "Rational Choice and the Framing of Decisions." The Journal of Business 2nd ser. 59.4 (1986): 251-78</ref> It also aims to resolve  isolation effects stemming from individuals' propensity to often isolate consecutive probabilities instead of treating them together. In the subsequent evaluation phase, people behave as if they would compute a value ([[utility]]), based on the potential outcomes and their respective probabilities, and then choose the alternative having a higher utility.
 
Under [[Expected utility hypothesis|Expected Utility Theory]], a change in risk preference would be considered as a violation of [[axioms]] and thus the predicted outcome would be wrong. However, Fishburn & Kochenberger (1979)<ref>Fishburn, Peter C., and Gary A. Kochenberger. "Two-Piece Von Neumann-Morgenstern Utility Functions." Decision Sciences 10.4 (1979): 503-18. Wiley</ref> proved the commonness of riskseeking in choices involving negative outcomes. A great advantage of Prospect Theory is that it does not assume people to behave constantly the same, but to behave accordingly to their preferences when facing gains or losses- thus getting rid of Reflection effects. 
 
The formula that Kahneman and Tversky assume for the evaluation phase is (in its simplest form) given by
 
:<math>U = \sum_{i=1}^{n} w(p_i)v(x_i)</math>
 
where <math>U</math> is the overall or expected utility of the outcomes to the individual making the decision, <math>x_1,x_2,\ldots,x_n</math> are the potential outcomes and <math>p_1,p_2,\dots,p_n</math> their respective probabilities. <math>\scriptstyle v</math> is a so-called value function that assigns a value to an outcome.  The value function (sketched in the Figure) that passes through the reference point is s-shaped and asymmetrical.  Losses hurt more than gains feel good ([[loss aversion]]).  This differs greatly from [[expected utility theory]], in which a rational agent is indifferent to the reference point.  In expected utility theory, the individual only cares about absolute wealth, not relative wealth in any given situation.  The function <math>\scriptstyle w</math> is a probability weighting function and expresses that people tend to overreact to small probability events, but underreact to medium and large probabilities.
 
To see how Prospect Theory (PT) can be applied in an example, consider the decision to buy insurance. Assuming the probability of the insured risk is 1%, the potential loss is $1,000 and the premium is $15. If we apply PT, we first need to set a reference point. This could be the current wealth or the worst case (losing $1,000). If we set the frame to the current wealth, the decision would be either to
 
1. Pay $15 for sure, which yields a PT-utility of <math>\scriptstyle v(-15)</math>,
 
OR
 
2. Enter a lottery with possible outcomes of $0 (probability 99%) or -$1,000 (probability 1%), which yields a PT-utility of <math>\scriptstyle w(0.01) \times v(-1000)+w(0.99) \times v(0)=w(0.01) \times v(-1000)</math>.
 
These expressions can be computed numerically. For typical value and weighting functions, the latter expression could be larger due to the convexity of <math>\scriptstyle v</math> in losses, and hence the insurance looks unattractive. If we set the frame to −$1,000, both alternatives are set in gains. The concavity of the value function in gains can then lead to a preference for buying the insurance.
 
In this example, a strong overweighting of small probabilities undo the effect of the convexity of <math>\scriptstyle v</math> in losses: the potential outcome of losing $1,000 is overweighted.
 
The interplay of overweighting of small probabilities and concavity-convexity of the value function leads to the so-called ''fourfold pattern of risk attitudes'': risk-averse behavior when gains have moderate probabilities and losses have small probabilities; risk-seeking behavior when losses have moderate probabilities and gains have small probabilities.
 
Below is an example of the fourfold pattern of risk attitudes.  The first item in quadrant shows an example prospect (e.g. 95% chance to win $10,000 is high probability and a gain).  The second item in the quadrant shows the focal emotion that the prospect is likely to evoke. The third item indicates how most people would behave given each of the prospects (either Risk Averse or Risk Seeking).  The fourth item states expected attitudes of an potential defendant and plaintiff in discussions of settling a civil suit.<ref>Kahneman, Daniel. Thinking, fast and slow. Farrar, Straus and Giroux, 2011. (p317)</ref>
 
{| class="wikitable"
|-
! Example !! Gains !! Losses
|-
| High Probability (Certainty Effect) || 95% chance to win $10,000.  Fear of disappointment.  RISK AVERSE.  Accept unfavorable settlement || 95% chance to lose $10,000.  Hope to avoid loss.  RISK SEEKING.  Reject favorable settlement. 
|-
| Low Probability (Possibility Effect) || 5% chance to win $10,000.  Hope of large gain.  RISK SEEKING.  Reject favorable settlement || 5% chance to lose $10,000.  Fear of large loss. RISK AVERSE. Accept unfavorable settlement
|}
 
See Kahneman and Tversky's related work on conflict resolution for more information on how Prospect theory influences negotiation: "Conflict resolution: A cognitive perspective" (No. 38). Stanford Center on Conflict and Negotiation, Stanford University.
 
==Applications==
Some behaviors observed in [[economics]], like the [[disposition effect]] or the reversing of [[risk aversion]]/[[risk seeking]] in case of gains or losses (termed the ''reflection effect''), can also be explained by referring to the prospect theory.
 
The [[pseudocertainty effect]] is the observation that people may be risk-averse or risk-acceptant depending on the amounts involved and on whether the gamble relates to becoming better off or worse off. This is a possible explanation for why the same person may buy both an [[insurance]] policy and a [[lottery]] ticket.
 
An important implication of prospect theory is that the way economic agents subjectively [[framing (economics)|frame]] an outcome or transaction in their mind affects the utility they expect or receive. This aspect has been widely used in [[behavioral economics]] and [[mental accounting]]. Framing and prospect theory has been applied to a diverse range of situations which appear inconsistent with standard economic rationality: the [[equity premium puzzle]], the excess returns puzzle and long swings/PPP puzzle of exchange rates through the endogenous prospect theory of Imperfect Knowledge Economics, the [[status quo bias]], various gambling and betting puzzles, [[intertemporal consumption]], and the [[endowment effect]].
 
Another possible implication for economics is that [[utility]] might be reference based, in contrast with additive utility functions underlying much of [[neo-classical economics]]. This means people consider not only the value they receive, but also the value received by others. This hypothesis is consistent with psychological research into [[happiness]], which finds subjective measures of wellbeing are relatively stable over time, even in the face of large increases in the standard of living (Easterlin, 1974; Frank, 1997).
 
Military historian John A. Lynn argues that prospect theory provides an intriguing if not completely verifiable framework of analysis for understanding [[Louis XIV]]'s [[foreign policy]] nearer to the end of his reign (Lynn, pp.&nbsp;43–44).
 
==Limits and extensions==
The original version of prospect theory gave rise to violations of first-order [[stochastic dominance]]. That is, prospect A might be preferred to prospect B even if the probability of receiving a value x or greater is at least as high under prospect B as it is under prospect A for all values of x, and is greater for some value of x. Later theoretical improvements overcame this problem, but at the cost of introducing [[intransitivity]] in preferences. A revised version, called [[cumulative prospect theory]] overcame this problem by using a probability weighting function derived from [[Rank-dependent expected utility]] theory. Cumulative prospect theory can also be used for infinitely many or even continuous outcomes (for example, if the outcome can be any [[real number]]).
 
==See also==
{{portal|Logic}}
* [[Decision theory]]
* [[Endowment effect]]
* [[Loss aversion]]
* [[Roman Frydman]]
* [[Description-experience gap]]
 
==Notes==
{{reflist}}
 
==References==
* [[Richard Easterlin|Easterlin, Richard A.]] "Does Economic Growth Improve the Human Lot?" in Paul A. David and Melvin W. Reder, eds., ''Nations and Households in Economic Growth: Essays in Honor of [[Moses Abramovitz]]'', New York: Academic Press, Inc., 1974.
* [[Robert H. Frank|Frank, Robert H.]] "The Frame of Reference as a [[Public Good]]". ''The Economic Journal''. Vol. 107, November 1977: 1832–47.
* [[Daniel Kahneman|Kahneman, Daniel]]. ''[[Thinking, Fast and Slow]]''. New York: Farrar, Straus and Giroux, 2011.
* Kahneman, Daniel, and [[Amos Tversky]]. "[http://www.princeton.edu/~kahneman/docs/Publications/prospect_theory.pdf Prospect Theory: An Analysis of Decision Under Risk]". ''[[Econometrica]]''. XLVII (1979): 263-291.
* Lynn, John A. ''The Wars of [[Louis XIV of France|Louis XIV]] 1667-1714''. United Kingdom: Pearson Education Ltd., 1999.
* McDermott, Rose, [[James H. Fowler]], and Oleg Smirnov. "[http://www.ssrn.com/abstract=1008034 On the Evolutionary Origin of Prospect Theory Preferences]". ''Journal of Politics''. April 2008.
*  Post, Thierry, Martijn J. Van den Assem, Guido Baltussen, and [[Richard Thaler]]. "[http://www.ssrn.com/abstract=636508 Deal or No Deal? Decision Making Under Risk in a Large-Payoff Game Show]". ''[[American Economic Review]]''. March 2008.
 
==External links==
* [http://www.econport.org/econport/request?page=man_ru_advanced_prospect An introduction to Prospect Theory]
* [http://prospect-theory.behaviouralfinance.net/ Prospect Theory]
 
{{DEFAULTSORT:Prospect Theory}}
[[Category:Behavioral finance]]
[[Category:Behavioral economics]]
[[Category:Economics of uncertainty]]
[[Category:Consumer behaviour]]
[[Category:Marketing]]
[[Category:Finance theories]]
[[Category:Decision theory]]
[[Category:1979 introductions]]
[[Category:Framing (social sciences)]]
[[Category:Prospect theory| ]]

Latest revision as of 10:00, 6 December 2014

Excited to meet you! Simple name is Eusebio yet I think it sounds quite good when a person will say it. As a man what My husband and i really like is representing but I'm thinking with regards to starting something new. I work as an get clerk. My house is so now in South Carolina in addition I don't plan changing it. You is likely to find my website here: http://prometeu.net

Have a look at my webpage clash of clans hack android