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Towards an Agent-Based Model for the Analysis of Macroeconomic Signals

Chapter
Publication Date:
2020
abstract:
This work introduces an agent-based model for the analysis of macroeconomic signals. The Bottom-up Adaptive Model (BAM) deploys a closed Walrasian economy where three types of agents (households, firms and banks) interact in three markets (goods, labor and credit) producing some signals of interest, e.g., unemployment rate, GDP, inflation, wealth distribution, etc. Agents are bounded rational, i.e., their behavior is defined in terms of simple rules finitely searching for the best salary, the best price, and the lowest interest rate in the corresponding markets, under incomplete information.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
ABM; Macroeconomic Signals
List of contributors:
Paolucci, Mario; Cecconi, Federico
Authors of the University:
CECCONI FEDERICO
PAOLUCCI MARIO
Handle:
https://iris.cnr.it/handle/20.500.14243/404227
Book title:
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications.
Published in:
STUDIES IN COMPUTATIONAL INTELLIGENCE (PRINT)
Series
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http://www.scopus.com/record/display.url?eid=2-s2.0-85080959797&origin=inward
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