Generating synthetic emotional cognitive states based on generating synthetic events. The synthetic event is based on accessing a first set of data measurements from physical sensors related to a user. The data measurements are processed to generate one or more synthetic events. Each of the synthetic events comprise a second set of data representing a result of a mathematical computation defined by an operation S(p1)==>F(p2). S is the first set of one or more data measurements with probability p1. F is an inferred event with probability p2, and each of the synthetic events is a particular set of data that represents, encodes, or records at least one of a thing or happening. The synthetic events are processed to denote one or more synthetic emotional cognitive states of a user has been reached. The synthetic emotional cognitive states comprise a third set of data representing a result of a mathematical computation defined by an operation S′(p1′)==>F′(p2′).
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method comprising: accessing a first set of one or more data measurements from one or more physical sensors related to at least one user; processing the data measurements to generate one or more synthetic events, wherein each of the synthetic events comprise a second set of data representing a result of a mathematical computation defined by an operation S(p1)==>F(p2), wherein S comprises the first set of one or more data measurements with probability p1, wherein F comprises an inferred event with probability p2, wherein each of the synthetic events is a particular set of data that represents, encodes, or records at least one of a thing or happening; and processing the one or more synthetic events to denote one or more synthetic emotional cognitive states of a user has been reached, wherein each of the synthetic emotional cognitive states comprise a third set of data representing a result of a mathematical computation defined by an operation S′(p1′)==>F′(p2′), wherein S′ comprises the second set of the one or more synthetic events with probability p1′, wherein F′ comprises an inferred event with probability p2′, wherein each of the first set of data, the synthetic events, and the synthetic emotional cognitive states all comprise different sets of data. 2. The computer-implemented method of claim 1, wherein the one or more of the synthetic events are grouped into one or more categories with a sum of each of the synthetic events in a category equal to one. 3. The computer-implemented method of claim 1, wherein the one or more of the synthetic events are distinct events represented by separate processes. 4. The computer-implemented method of claim 1, wherein the one or more of the synthetic events occur within a given time period. 5. The computer-implemented method of claim 1, wherein the processing one or more synthetic events to denote at least one synthetic emotional cognitive state of the user has been reached includes the user's thinking and behavior at a certain time and a condition or character of the user's thoughts or feelings. 6. The computer-implemented method of claim 1, wherein the accessing the first set of one or more data measurements from one or more physical sensors related to the least one user are data measurements of the user's geographical location. 7. The computer-implemented method of claim 1, wherein the accessing the first set of one or more data measurements from one or more physical sensors related to the least one user are data measurements of the user's biomedical data. 8. The computer-implemented method of claim 1, further comprising: evaluating against a threshold that the at least one synthetic emotional cognitive state of the user has been reached; and based the threshold being reached, triggering a transducer to take a physical action. 9. A computer program product for computing synthetic emotional cognitive states, the product having a computer readable non-transitory storage medium comprising program code operable for: accessing a first set of one or more data measurements from one or more physical sensors related to at least one user; processing the data measurements to generate one or more synthetic events, wherein each of the synthetic events comprise a second set of data representing a result of a mathematical computation defined by an operation S(p1)==>F(p2), wherein S comprises the first set of one or more data measurements with probability p1, wherein F comprises an inferred event with probability p2, wherein each of the synthetic events is a particular set of data that represents, encodes, or records at least one of a thing or happening; and processing the one or more synthetic events to denote one or more synthetic emotional cognitive states of a user has been reached, wherein each of the synthetic emotional cognitive states comprise a third set of data representing a result of a mathematical computation defined by an operation S′(p1′)==>F′(p2′), wherein S′ comprises the second set of the one or more synthetic events with probability p1′, wherein F′ comprises an inferred event with probability p2′, wherein each of the first set of data, the synthetic events, and the synthetic emotional cognitive states all comprise different sets of data. 10. The computer program product of claim 9, wherein the one or more of the synthetic events are grouped into one or more categories with a sum of each of the synthetic events in a category equal to one. 11. The computer program product of claim 9, wherein the one or more of the synthetic events are distinct events represented by separate processes. 12. The computer program product of claim 9, wherein the one or more of the synthetic events occur within a given time period. 13. The computer program product of claim 9, wherein the processing one or more synthetic events to denote at least one synthetic emotional cognitive state of the user has been reached includes the user's thinking and behavior at a certain time and a condition or character of the user's thoughts or feelings. 14. The computer program product of claim 9, wherein the accessing the first set of one or more data measurements from one or more physical sensors related to the least one user are data measurements of the user's geographical location. 15. The computer program product of claim 9, wherein the accessing the first set of one or more data measurements from one or more physical sensors related to the least one user are data measurements of the user's biomedical data. 16. The computer program product of claim 9, further comprising: evaluating against a threshold that the at least one synthetic emotional cognitive state of the user has been reached; and based the threshold being reached, triggering a transducer to take a physical action. 17. A data processing system comprising: a bus; a processor connected to the bus; a memory connected to the bus, the memory storing instructions for carrying out a computer implemented method, wherein the processor is capable of carrying out the instructions of: accessing a first set of one or more data measurements from one or more physical sensors related to at least one user; processing the data measurements to generate one or more synthetic events, wherein each of the synthetic events comprise a second set of data representing a result of a mathematical computation defined by an operation S(p1)==>F(p2), wherein S comprises the first set of one or more data measurements with probability p1, wherein F comprises an inferred event with probability p2, wherein each of the synthetic events is a particular set of data that represents, encodes, or records at least one of a thing or happening; and processing the one or more synthetic events to denote one or more synthetic emotional cognitive states of a user has been reached, wherein each of the synthetic emotional cognitive states comprise a third set of data representing a result of a mathematical computation defined by an operation S′(p1′)==>F′(p2′), wherein S′ comprises the second set of the one or more synthetic events with probability p1′, wherein F′ comprises an inferred event with probability p2′, wherein each of the first set of data, the synthetic events, and the synthetic emotional cognitive states all comprise different sets of data. 18. The data processing system of claim 17, wherein the one or more of the synthetic events are grouped into one or more categories with a sum of each of the synthetic events in a category equal to one. 19. The data processing system of claim 17, wherein the one or more of the synthetic events are distinct events represented by separate processes. 20. The data processing system of claim 17, wherein the one or more of the synthetic events occur within a given time period.