The relevance of computer science to economic planning is defended. An algorithm for constructing a balanced economic plan is presented and found to be of time order Nlog(N) in the complexity of the economy. The time taken to perform a complete plan optimization in natural units for a whole economy is estimated. Plans and computational costs This is a paper by a computer scientist that disputes an economic hypothesis. The hypothesis rests upon certain premises about computation and is therefore open to criticism from outside economics. The hypothesis is that: the complexities involved with performing the calculations required to optimize an economic plan in natural units are so great that they are beyond the realms of feasibility and that i...
The history of AI in economics is long and winding, much the same as the evolving field of AI itself...
Algorithmic economics helps us stipulate, formulate, and resolve economic problems in a more precise...
The selection of what to do next is often the hardest part of resource-limited problem solving. In p...
La crítica a la posibilidad del cálculo económico en el socialismo ha señalado dos tipos de problema...
The debate over the optimal way of allocating societal surplus (i.e. products and services) has been...
The economic, social, demographic, technological achievements, uneven distribution of raw materials,...
Abstract: In the area of contemporary complex economic systems there arises several difficulties in ...
Murphy [26] argues that the diagonal argument of the number theorist Cantor can be used to elucidate...
The theoretical basis of the contemporary capitalist system of production management is a combinatio...
One of the fundamental critiques against twentieth century experiments in central economic planning,...
An article that reviews the work of Kantorovich in the light of von Mises claim that rational calcul...
This book presents frontier research on the use of computational methods to model complex interactio...
Confronted with the rise in the price of oil and the increase in new competition, the « invisible ha...
International audienceAt the end of the 20th century, economic planning appeared to be obsolete. In ...
This article explores the possible vectors of development of corporate planning under the conditions...
The history of AI in economics is long and winding, much the same as the evolving field of AI itself...
Algorithmic economics helps us stipulate, formulate, and resolve economic problems in a more precise...
The selection of what to do next is often the hardest part of resource-limited problem solving. In p...
La crítica a la posibilidad del cálculo económico en el socialismo ha señalado dos tipos de problema...
The debate over the optimal way of allocating societal surplus (i.e. products and services) has been...
The economic, social, demographic, technological achievements, uneven distribution of raw materials,...
Abstract: In the area of contemporary complex economic systems there arises several difficulties in ...
Murphy [26] argues that the diagonal argument of the number theorist Cantor can be used to elucidate...
The theoretical basis of the contemporary capitalist system of production management is a combinatio...
One of the fundamental critiques against twentieth century experiments in central economic planning,...
An article that reviews the work of Kantorovich in the light of von Mises claim that rational calcul...
This book presents frontier research on the use of computational methods to model complex interactio...
Confronted with the rise in the price of oil and the increase in new competition, the « invisible ha...
International audienceAt the end of the 20th century, economic planning appeared to be obsolete. In ...
This article explores the possible vectors of development of corporate planning under the conditions...
The history of AI in economics is long and winding, much the same as the evolving field of AI itself...
Algorithmic economics helps us stipulate, formulate, and resolve economic problems in a more precise...
The selection of what to do next is often the hardest part of resource-limited problem solving. In p...