System and method for decision making in strategic environments

A computerized apparatus having a processor, the processor being adapted to perform the steps of:

• obtaining a process tree representative of a strategic game involving actors, wherein the process tree comprises computational nodes, strategic decision nodes and leaf nodes, wherein the strategic decision nodes are associated with a strategic decision of actors, wherein the computational nodes define a computation value for a variable, wherein the leaf nodes define payoffs for the actors, wherein at least for one leaf node the payoff is defined based on the computational value of the variable;
• simulating routes defined in the process tree to reduce the process tree into a game tree representing the strategic game;
• extracting a feature from the game tree, wherein the feature is based on predictions of payoffs in the strategic game in accordance with a solution concept, wherein the feature comprises a predetermined number of predictions, wherein the number of the predictions is indifferent to the strategic game, wherein said extracting comprises extracting a first feature based on a first solution concept and extracting a second feature based on a second solution concept;
• utilizing a machine learning prediction tool to predict a payoff based on the feature, wherein the machine learning predicting tool is trained with a plurality of pairs, each pair comprising a training feature and an actual payoff, wherein the training feature is based on predictions of the alternative payoffs in strategic games in accordance with the corresponding solution concept, wherein the training feature comprise the predetermined number of predictions, wherein the actual payoffs are actual payoffs that were received in the strategic games;
• and
• providing the payoff prediction to a user.

A computer program product comprising a non-transitory computer readable medium retaining program instructions, which instructions when read by a processor, cause the processor to perform a method comprising:

• receiving a query related to a strategic game;
• obtaining a description of the strategic game, wherein an actor makes a strategic decision in the strategic game;
• simulating a predetermined number of payoffs to the actor during the strategic game, wherein said simulating comprises:
• simulating a first portion of the predetermined number of payoffs using a first solution concept and simulating a second portion of the predetermined number of payoffs using a second solution concept;
• utilizing a machine learning prediction tool to predict a payoff to the actor based on the predicting number of payoffs, wherein the machine learning predicting tool is trained with a plurality of pairs, each pair comprising a set of simulated payoffs and an actual payoff, wherein the simulated payoffs are predetermined number of the alternative payoffs determined in accordance with the corresponding solution concept;
• and
• providing the payoff prediction to a user in response to the query.