L'azione economica tra etica e neurobiologia

The heated debate over the conflict between ethics and economics is often described as an epochal issue, an expression of present-day fragility, resulting from the implosion of the development model, which has characterised western society. The debate, however, exposes a paradox. Whilst, on the one hand, the neoclassical economic theory is radically criticized, on the other such criticism does not appear to delineate any solid, practicable alternative. Thus, the mainstream economic theory is still taught, practised by individuals as well as institutions, and further developed by the prevailing academic research. For this reason, a viable alternative needs to be sought, along with a new research methodology, which would allow to apply novel and more coherent theoretical assumptions into effective research and real cases. The theoretical instruments by which to create the models for human behaviour need to take into account the biological foundation of behaviour, expressed in evolutionary genetics terms. The aim of this paper is to establish whether our moral knowledge of economics may claim any scientific objectivity in light of advances in subject areas that differ in their scope and methods: moral philosophy, economics, cognitive neuroscience and artificial intelligence, each of which makes a specific contribution to understanding the operation of the human mind and towards forming the moral values onto which economic choice and action are founded. Given that the object of the study of economic science is the analysis of complex systems, nowadays the most efficient method seems to be artificial life simulation.

Grantor dc:publisher

Università degli Studi di Cagliari

Year dc:date

2015

Author dc:creator

• MURINO, ANTONELLA

• brain
• cervello
• choice
• decision
• decisione
• economia
• economics
• ethic
• etica
• mente
• mind
• scelta
• Settore M-FIL/03 - Filosofia Morale

Statement dc:rights

• info:eu-repo/semantics/openAccess
• license:Non specificato

Language dc:language

ita

Handle dc:identifier

http://hdl.handle.net/11584/266376

OAI identifier oai:identifier

oai:iris.unica.it:11584/266376