Abstract: A processing device and a method of providing learning capability thereto are provided. One of a plurality of processor actions is selected based on an action probability distribution comprising a plurality of probability values corresponding to the plurality of processor actions. The plurality of processor actions are associated with a plurality of different difficulty levels. An action performed by a user is identified, an outcome of selected processor action relative to the identified user action is determined, and the action probability distribution is updated based on the outcome and the difficulty level of the selected processor action.

Abstract: A computer game and a method of providing learning capability thereto are provided. The computer game has an objective of matching a skill level of the computer game with a skill level of a game player. A move performed by the game player is identified, one of a plurality of game moves is selected based on a game move probability distribution comprising a plurality of probability values corresponding to the plurality of game moves, an outcome of the selected game move relative to the identified player move is determined, the game move probability distribution is updated based on the outcome, and one or more of the game move selection, the outcome determination, and the game move probability distribution update is modified based on the objective.

Abstract: A processing device having one or more objectives is provided. The processing device comprises a probabilistic learning module having a learning automaton configured for learning a plurality of processor actions in response to a plurality of actions performed by a plurality of users, and an intuition module configured for modifying a functionality of said probabilistic learning module based on said one or more objectives.

Abstract: A processing device and a method of providing learning capability thereto are provided. A list containing a plurality of listed items with an associated item probability distribution is generated. The item probability distribution comprises a plurality of probability values corresponding to the plurality of listed items. One or more items are selected from the plurality of listed items based on the item probability distribution, a performance index indicative of a performance of the processing device relative to the objective is determined, and the item probability distribution is modified based on the performance index.

Abstract: A processing device and a method of providing learning capability thereto are provided. One of a plurality of processor actions is selected based on an action probability distribution comprising a plurality of probability values corresponding to the plurality of processor actions. The plurality of processor actions are associated with a plurality of different difficulty levels. An action performed by a user is identified, an outcome of selected processor action relative to the identified user action is determined, and the action probability distribution is updated based on the outcome and the difficulty level of the selected processor action.

Abstract: A processing device having one or more objectives is provided. The processing device comprises a probabilistic learning module having a learning automaton configured for learning a plurality of processor actions in response to a plurality of actions performed by a plurality of users, and an intuition module configured for modifying a functionality of said probabilistic learning module based on said one or more objectives.

Abstract: A computer game and a method of providing learning capability thereto are provided. The computer game has an objective of matching a skill level of the computer game with a skill level of a game player. A move performed by the game player is identified, one of a plurality of game moves is selected based on a game move probability distribution comprising a plurality of probability values corresponding to the plurality of game moves, an outcome of the selected game move relative to the identified player move is determined, the game move probability distribution is updated based on the outcome, and one or more of the game move selection, the outcome determination, and the game move probability distribution update is modified based on the objective.

Abstract: A processing device and a method of providing learning capability thereto are provided. A list containing a plurality of listed items with an associated item probability distribution is generated. The item probability distribution comprises a plurality of probability values corresponding to the plurality of listed items. One or more items are selected from the plurality of listed items based on the item probability distribution, a performance index indicative of a performance of the processing device relative to the objective is determined, and the item probability distribution is modified based on the performance index.

Abstract: A method and apparatus for providing learning capability to processing device, such as a computer game, educational toy, telephone, or television remote control, is provided to achieve one or more objective. One of a plurality of actions (e.g., game actions, educational prompts, listed phone numbers, or listed television channels) to be performed on the processing device is selected. A user input indicative of a user action (e.g., a player action, educational input, called phone number, or watched television channel) is received. An outcome of the selected action and/or user action is determined. An action probability distribution having probability values corresponding to the plurality of actions is then updated based on the determined outcome. The next action will then be selected based on this updated action probability distribution. The foregoing steps can be modified based on a performance index to achieve the objective of the processing device so that it learns.

Abstract: A method and apparatus for providing learning capability to processing device, such as a computer game, is provided. One of a plurality of computer actions to be performed on the computer-based device is selected. In the case of a computer game, the computer actions can take the form of moves taken by a computer-manipulated object. A user input indicative of a user action, such as a move by a user-manipulated object, is received. An outcome value of the selected computer action is determined based on the user action. For example, in the case of a computer game, an intersection between the computer-manipulated object and the user-manipulated object may generate an outcome value indicative of a failure, whereas the non-intersection therebetween may generate an outcome value indicative of a success. An action probability distribution that includes probability values corresponding to said plurality of computer actions is updated based on the determined outcome value.

Abstract: A method and apparatus for providing learning capability to processing device, such as a computer game, educational toy, telephone, or television remote control, is provided to achieve one or more objective. For example, if the processing device is a computer game, the objective may be to match the skill level of the game with that of a player. If the processing device is an educational toy, the objective may be to increase the educational level of a user. If the processing device is a telephone, the objective may be to anticipate the phone numbers that a phone user will call. If the processing device is a television remote control, the objective may be to anticipate the television channels that will watched by the user. One of a plurality of actions (e.g., game actions, educational prompts, listed phone numbers, or listed television channels) to be performed on the processing device is selected. A user input indicative of a user action (e.g.