000 04019nam a22004935i 4500
001 978-88-470-1778-8
003 DE-He213
005 20140220084555.0
007 cr nn 008mamaa
008 101226s2010 it | s |||| 0|eng d
020 _a9788847017788
_9978-88-470-1778-8
024 7 _a10.1007/978-88-470-1778-8
_2doi
050 4 _aHB144
050 4 _aQA269-272
072 7 _aPBUD
_2bicssc
072 7 _aMAT011000
_2bisacsh
072 7 _aBUS069030
_2bisacsh
082 0 4 _a519
_223
100 1 _aFaggini, Marisa.
_eeditor.
245 1 0 _aDecision Theory and Choices: a Complexity Approach
_h[electronic resource] /
_cedited by Marisa Faggini, Concetto Paolo Vinci.
264 1 _aMilano :
_bSpringer Milan :
_bImprint: Springer,
_c2010.
300 _aX, 240 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aNew Economic Windows,
_x2039-411X
505 0 _aGeneral 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.
520 _aIn 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; errors and biases are the natural counterpart of learning and adapting processes. The papers collected in this volume show that economic agents, individual or aggregate, do not conform to standard economic models, highlighting how a different framework – complexity theory - could help to explain and understand the choice and decision process of economic agent.
650 0 _aMathematics.
650 0 _aEconomics.
650 1 4 _aMathematics.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
650 2 4 _aComplex Networks.
650 2 4 _aEconomic Systems.
700 1 _aVinci, Concetto Paolo.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9788847017771
830 0 _aNew Economic Windows,
_x2039-411X
856 4 0 _uhttp://dx.doi.org/10.1007/978-88-470-1778-8
912 _aZDB-2-SBE
999 _c113178
_d113178