Interactive artificial intelligence

A method for adjusting behavior of a device based on the device's experience, said device comprising:

• (i) a sensing unit for sensing signals;
• (ii) a concern-generating unit programmed to generate concern-parameters;
• (iii) an actuating unit for actuating the device;
• and (iv) a memory storing a spreadsheet composed of multiple sets of data, each set corresponding to an event defined by signals received by the device, variations in its concern-parameters, and behavior of the device,
• said method comprising the steps of:
• (a) sensing signals receivable by the device;
• said device having concern-parameters (Ci) (i=entry number or time) which vary from predetermined standards (SC);
• (b) extracting from the memory an event, if any, to best compensate for the variations in its concern-parameters;
• and
• (c) actuating the device based on the extracted information, and then computing variations in its concern-parameters (ΔCi), thereby updating the memory,
• wherein the updated memory stores variations in its concern-parameters (ΔC′i) linked with the event, wherein ΔC′i=αΔCi+(1−α) ΔC′i−1(0<α<1), wherein ΔC′i−1 is the previous data saved under the index of the event.

A method for adjusting behavior of a device based on the device's experience, said device comprising:

• (i) a sensing unit for sensing signals;
• (ii) a concern-generating unit programmed to generate concern-parameters;
• (iii) an actuating unit for actuating the device;
• and (iv) a memory storing a spreadsheet composed of multiple sets of data, each set corresponding to an event defined by signals received by the device, variations in its concern-parameters, and behavior of the device,
• said method comprising the steps of:
• (a) sensing signals receivable by the device;
• said device having concern-parameters (Ci) (i=entry number or time) which vary from predetermined standards (SC);
• (b) extracting from the memory an event, if any, to best compensate for the variations in its concern-parameters;
• and
• (c) actuating the device based on the extracted information, and then computing variations in its concern-parameters (ΔCi), thereby updating the memory,
• wherein the concern-generating unit comprises a plurality (p) of concern modules, each differently programmed to generate and output the concern-parameter (C(n)i) (n=1−p), and, in step (b), the best compensating event is selected if the relevancy calculated based on the difference between the initial variation (SC(n)−C(n)i) and the recorded variation (ΔC′(n)i−1) in each concern-parameter is higher than a pre-selected score, wherein the relevancy is defined by Σ((SC(n)−(n)i)−ΔC′(n)i−1)2(n1−p).