Abstract: Collaborative agents for simulating teamwork (CAST) are provided with a recognition-primed decision (RPD) model, thereby enhancing analysis through linking and sharing information using knowledge and experience distributed among team members. The RPD model is integrated within a CAST architecture to the extent that agents can proactively seek and fuse information to enhance the quality and timeliness of the decision-making process. The approach, which is applicable to both human assistants and virtual teammates, can approximately track human's decision-making process and effectively interact with human users. A disclosed example relates to teams of agents analyzing terrorist activities.

Abstract: An electronic valet parking system includes a plurality of portable wireless transmitters each operable to generate and transmit a uniquely-coded wireless signal. The system further includes a transceiver operable to receive the uniquely-coded wireless signal from each of the plurality of portable wireless transmitters, and a microcontroller circuit operable to communicate with the transceiver, receive an indication of the uniquely-coded wireless signal received by the transceiver, and identify a customer key associated with the uniquely-coded wireless signal. A plurality of key storage racks each in communication with the microcontroller circuit and each having a plurality of key holders and associated respective key indicators are provided. Each key holder corresponds to a unique transmitter identifier. A key visual indicator associated with a key holder corresponding to the unique transmitter identifier is activated, and a rack visual indicator of the corresponding key storage rack is also activated.

Abstract: Collaborative agents for simulating teamwork (CAST) are provided with a recognition-primed decision (RPD) model, thereby enhancing analysis through linking and sharing information using knowledge and experience distributed among team members. The RPD model is integrated within a CAST architecture to the extent that agents can proactively seek and fuse information to enhance the quality and timeliness of the decision-making process. The approach, which is applicable to both human assistants and virtual teammates, can approximately track human's decision-making process and effectively interact with human users. A disclosed example relates to teams of agents analyzing terrorist activities.