Data visualization methods for simulation modeling of agent behavioral expression
1 Assignment
0 Petitions
Accused Products
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. 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.
26 Citations
40 Claims
-
1-20. -20. (canceled)
-
21. A data visualization method for use in a computer simulation of response of a computerized agent archetype of behavioral expression to real-world input data, comprising:
-
(a) modeling the behavioral expression of an agent as an archetype of behavioral characteristics corresponding to likely responses to real-world input data as measured across a plurality of predetermined scales of agent perception, (i) wherein said scales represent respective pre-defined behavioral modalities of agent perception across a given perceptual range;
(ii) wherein each of said scales is graded into a plurality of levels of resolution ranging from “
most abstract to the agent”
to “
least abstract to the agent”
;
(iii) wherein said agent archetypal behavioral expression is modeled as an expected progression in sequence across a selected series of scales according to a particular mode of progression uniquely representing the agent'"'"'s archetypal behavior, and includes an associative data matrix comprising a list of keywords for each scale of the selected series of scales that are deemed likely to have an influence on the agent'"'"'s archetype of perception on each such scale of perception, and each keyword of the list for each scale being rated for a level of resolution on which the keyword is deemed likely to have an influence on the agent'"'"'s perception on that scale;
(b) running a computer simulation of an agent'"'"'s modeled behavioral expression against input text data from real-world information sources, and tracking the numbers and levels of matches of keywords in the input text data to the associative data matrix of keywords for the chosen series of scales, and (c) providing a visual display of a pattern of responses of the agent'"'"'s archetype of behavioral expression using the numbers, levels, and scales of keyword matches and their progression in the selected series of scales as a visualization of computer simulation data uniquely representing the response of the agent'"'"'s archetype of behavioral expression to the real-world input data. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
-
-
34. A data visualization display from a computer simulation of response of a computerized agent archetype of behavioral expression to real-world input data, comprising a visual display of a pattern of responses of the agent'"'"'s archetype of behavioral expression to keyword matches and their progression in a selected series of scales of agent perception uniquely representing the response of the agent'"'"'s archetype of behavioral expression to the real-world input data,
(i) wherein said scales represent respective pre-defined behavioral modalities of agent perception across a given perceptual range; -
(ii) wherein each of said scales is graded into a plurality of levels of resolution ranging from “
most abstract to the agent”
to “
least abstract to the agent”
;
(iii) wherein said agent archetypal behavioral expression is modeled as an expected progression in sequence across a selected series of scales according to a particular mode of progression uniquely representing the agent'"'"'s archetypal behavior, and includes an associative data matrix comprising a list of keywords for each scale of the selected series of scales that are deemed likely to have an influence on the agent'"'"'s archetype of perception on each such scale of perception, and each keyword of the list for each scale being rated for a level of resolution on which the keyword is deemed likely to have an influence on the agent'"'"'s perception on that scale; and
(iv) wherein said visual display of the pattern of responses of the agent'"'"'s archetype of behavioral expression is derived from a computer simulation of the agent'"'"'s modeled behavioral expression to input text data from real-world information sources. - View Dependent Claims (35, 36, 37, 38, 39, 40)
-
Specification