London, Jan 8 (IANS) Some games are simply impossible to fully learn or too complex for the human mind to understand, according to researchers.
In simple games with a small number of moves, such as Noughts and Crosses the optimal strategy is easy to guess, and the game quickly becomes uninteresting.
However, when games became more complex and when there are a lot of moves, such as in chess, the board game Go or complex card games, the academics argue that players' actions become less rational and that it is hard to find optimal strategies.
The study, conducted by Tobias Galla from the School of Physics and Astronomy, University of Manchester, and Doyne Farmer, professor from Oxford University and the Santa Fe Institute, could also have implications for the financial markets, the journal Proceedings of the National Academy of Sciences reports.
Many economists base financial predictions of the stock market on equilibrium theory - assuming that traders are infinitely intelligent and rational, according to a Manchester statement.
This, the academics argue, is rarely the case and could lead to predictions of how markets react being wildly inaccurate. Much of traditional game theory, the basis for strategic decision-making, is based on the equilibrium point - players or workers having a deep and perfect knowledge of what they are doing and of what their opponents are doing.
Galla said: "Equilibrium is not always the right thing you should look for in a game. In many situations, people do not play equilibrium strategies, instead what they do can look like random or chaotic for a variety of reasons, so it is not always appropriate to base predictions on the equilibrium model."
"With trading on the stock market, for example, you can have thousands of different stock to choose from and people do not always behave rationally in these situations or they do not have sufficient information to act rationally. This can have a profound effect on how the markets react," Galla said.
"It could be that we need to drop these conventional game theories and instead use new approaches to predict how people might behave," the researcher adds.