50 results about "Agent behavior" patented technology

A computer simulation method is provided for modeling the behavioral expression of one or more computerized agents for running a simulation against real-world input data, and providing a visual display identifying elements in the input data corresponding to the modeled agent(s) response(s). Simulations can be run on sources of input data on global networks for agent types of different cultures, societies, and behaviors, such as news feeds, text communications, and reports, in order to identify keywords or phrases therein that correspond to agent behavioral expressions being monitored. Robust new visual tools are provided for discerning patterns and trends in the simulation data, including waveform charts, star charts, grid charts, and pole charts.

A method and apparatus for processing attached E-mail data and storage medium for processing a program for attached data in which, in sending / receiving an E-mail using a virtual pet displayed on a real world oriented GUI screen as an agent, in which parameters controlling the behavior of the agent are processed on the side of a server and returned to the user to enable the user to change the agent behavior. A user appends agent parameters to an E-mail to send the resulting mail to a pre-set address. An Internet service provider receives the E-mail to judge whether the title (Subject:) of the mail header is (cocktail lounge). If the title is the cocktail lounge, the physical power parameter of the agent parameter is lowered to append it to the E-mail Magneto-optical disc to send the mail back to the user. On the user side, the tipsy behavior of the drunken pet is displayed on the basis of the agent parameters appended to the E-mail Magneto-optical disc.

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. As a result, the simulation output of the modeled agent's responses to the input information can indicate more accurately how that type of participant in the simulated environment might respond under real-world conditions. Simulations can be run on global networks for agent types of different cultures, societies, and behaviors, with global sources of information. Simulation environments can include problems and situations in a wide range of human activity. Robust new visual tools are provided for discerning patterns and trends in the simulation data, including waveform charts, star charts, grid charts, and pole chart series.

A method of predicting the behavior of software agents in a simulated environment involves modeling a plurality of software agents representing entities to be analyzed, which may be human beings. Using a set of parameters that governs the behavior of the agents, the internal state of at least one of the agents is estimated by its behavior in the simulation, including its movement within the environment. This facilitates a prediction of the likely future behavior of the agent based solely upon its internal state; that is, without recourse to any intentional agent communications. In the preferred embodiment the simulated environment is based upon a digital pheromone infrastructure. The simulation integrates knowledge of threat regions, a cognitive analysis of the agent's beliefs, desires, and intentions, a model of the agent's emotional disposition and state, and the dynamics of interactions with the environment. By evolving agents in this rich environment, we can fit their internal state to their observed behavior. In realistic wargame scenarios, the system successfully detects deliberately played emotions and makes reasonable predictions about the entities' future behavior.

Embodiments emulate agents in a contact center, or enterprise, that initiate communication sessions to each other over communication networks and measure data quality using one or more metrics. That data measured can include voice and video data. Examples of communication networks used to place the voice calls include Internet Protocol (IP) networks and hybrid networks including more traditional telephony components. The data collected by the emulated agents is sent to a monitoring server. The monitoring server and the emulated agent behavior can be configured and scheduled via a web interface. In addition, the web interface provides the user with detailed reports, performance summaries, and visualizations of data collected, further enabling the user to troubleshoot a contact center or enterprise over a variety of communication networks.

A method, computer program product, and computer system for configuring a stochastic simulation scenario, wherein the stochastic simulation scenario may include one or more variables, wherein at least a portion of the one or more variables may include agent behavior, and wherein the stochastic simulation scenario may be randomized and digital. The stochastic simulation scenario may be executed to generate one or more results of the stochastic simulation scenario. At least a portion of the one or more variables may be optimized using one or more optimization metrics on the one or more results of the stochastic simulation scenario, wherein at least the portion of the one or more variables may be modified based on game theory.