Abstract: A system and method is disclosed for receiving user input data, such as voice data and text data, associating a visualization with the user input data; and creating an MMS message based upon the visualization. Optionally, the system is configured to analyze and process such user input data to generate linguistic, semantic, cultural or other contextual data for association with multimedia files. By using tagging and indexing, user input data is processed to generate one or more associations with visualizations. A processor or engine searches a database to find associated visualizations or multimedia files that match the user input data. The multimedia files may then be concatenated or streamed to communicate one or more series of multimedia files in lieu of the text data. Accordingly, users can transform textual and voice communication into a multimedia-rich means of communication with one another.

Abstract: A system and method is disclosed for receiving user input data, such as voice data and text data, associating a visualization with the user input data; and creating an MMS message based upon the visualization. Optionally, the system is configured to analyze and process such user input data to generate linguistic, semantic, cultural or other contextual data for association with multimedia files. By using tagging and indexing, user input data is processed to generate one or more associations with visualizations. A processor or engine searches a database to find associated visualizations or multimedia files that match the user input data. The multimedia files may then be concatenated or streamed to communicate one or more series of multimedia files in lieu of the text data. Accordingly, users can transform textual and voice communication into a multimedia-rich means of communication with one another.

Abstract: A computer simulation method is provided for modeling the behavioral expression of one or more agents in an environment to be simulated, then running a simulation of the modeled agent(s) against real-world information as input data reflecting changing conditions of the environment being simulated, and obtaining an output based on the modeled agent(s) response(s). The simulation method models the underlying cultural, social, and behavioral characteristics on which agent behaviors and actions are based, rather than modeling fixed rules for the agent's actions. The input data driving the simulation are constituted by real-world information reflecting the changing conditions of the environment being simulated, rather than an artificial set of predefined initial conditions which do not change over time.