Title :
The oil game: Man-machine simulation of competitive bidding
Author_Institution :
University of California, Berkeley, California
Abstract :
The Oil Game models the environment of competitive bidding for offshore oil and gas tracts. It utilizes the capabilities for man/machine interaction of the Laboratory at Berkeley; its objective is to study the economic consequences of having the government set alternative leasing policies. Policies which are readily simulated include royalty vs. lump sum ("bonus") bidding; prohibition or encouragement of bidding syndicates; public vs. private information provision, and other alternative policies which have attracted government and industry attention here and abroad. By observing a large number of outcomes of the game, implications of alternative oil leasing policies can be derived for environments whose complexity effectively precludes analytical solution.
Keywords :
Costs; Environmental economics; Government; Humans; Investments; Man machine systems; Marketing and sales; Measurement errors; Petroleum; Uncertainty;
Conference_Titel :
Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
Conference_Location :
New Orleans, LA, USA
DOI :
10.1109/CDC.1977.271767