Search and Selection in the Goodwin Growth Model
نویسنده
چکیده
The Goodwin growth model is a particular dynamical system exhibiting limit cycle behaviour. I wish to add a measure of search and selection into the basic model by adapting one of the parameters of the model to be affected by an operator, such that the search process itself is a function of the relative slackness of the labour market summarised by the Phillips curve relationship modelled within the Goodwin model, and a new operator defined below, following the Kauffman (1993) NK model of search and selection along fitness landscapes. The results of simulations show simply that the dynamics of the augmented Goodwin economy are essentially unchanged, though the search process itself is determined more by the macro-dynamics than the microeconomic conditions imposed on the actors in the system by the ruggedness of the landscape. In physics the truth is rarely perfectly clear, and that is certainly universally the case in human affairs. Hence, what is not surrounded by uncertainty cannot be the truth.
منابع مشابه
An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification
The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
متن کاملAn Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification
The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
متن کاملComparison of particle swarm optimization and tabu search algorithms for portfolio selection problem
Using Metaheuristics models and Evolutionary Algorithms for solving portfolio problem has been considered in recent years.In this study, by using particles swarm optimization and tabu search algorithms we optimized two-sided risk measures . A standard exact penalty function transforms the considered portfolio selection problem into an equivalent unconstrained minimization problem. And in final...
متن کاملAn Integrated Decision Making Model for Manufacturing Cell Formation and Supplier Selection
Optimization of the complete manufacturing and supply process has become a critical ingredient for gaining a competitive advantage. This article provides a unified mathematical framework for modeling manufacturing cell configuration and raw material supplier selection in a two-level supply chain network. The commonly used manufacturing design parameters along with supplier selection and a subco...
متن کاملUrban Growth Modeling using Integrated Cellular Automata and Gravitational Search Algorithm (Case Study: Shiraz City, Iran)
Cities are growing and encountering many changes over time due to population growth and migration. Identification and detection of these changes play important roles in urban management and sustainable development. Urban growth models are divided into two main categories: first cellular models which are further divided into experimental, dynamic, and integrated models and second vector models. ...
متن کامل