Robert John Matthews

US Patent:

7921066, Apr 5, 2011

Filed:

Oct 12, 2006

Appl. No.:

11/548909

Inventors:

Henry Van Dyke Parunak - Ann Arbor MI, US
Sven Brueckner - Dexter MI, US
Robert S. Matthews - Saline MI, US
John A. Sauter - Ann Arbor MI, US
Steven M. Brophy - Saline MI, US
Robert J. Bisson - Dexter MI, US

International Classification:

G06F 3/00
G06N 3/12

US Classification:

706 13, 716105, 700 56

Abstract:

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.

US Patent:

20110178978, Jul 21, 2011

Filed:

Apr 4, 2011

Appl. No.:

13/079766

Inventors:

H. Van Dyke Parunak - Ann Arbor MI, US
Sven Brueckner - Dexter MI, US
Robert S. Matthews - Saline MI, US
John A. Sauter - Ann Arbor MI, US
Steven M. Brophy - Saline MI, US
Robert J. Bisson - Dexter MI, US

International Classification:

G06N 5/04

US Classification:

706 52

Abstract:

A method of predicting the behavior of software agents in a simulated environment involving 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 one 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.