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Full-Text Articles in Physical Sciences and Mathematics
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Barry G Silverman
Social learning and adoption of new behavior govern the rise of a variety of behaviors: from actions as mundane as dance steps to those as dangerous as new ways to make IED detonators. However, agents in immersive virtual environments lack the ability to realistically simulate the spread of new behavior. To address this gap, a cognitive model was designed that represents the well-known socio-cognitive factors of attention, social influence, and motivation that influence learning and the adoption of a new behavior. To explore the effectiveness of this model, simulations modeled the spread of two competing memes in Hamariyah, an archetypal …
Constructing Virtual Asymmetric Opponents From Data And Models In The Literature: Case Of Crowd Rioting, Barry G. Silverman, Michael Johns, Kevin O'Brien, Ransom Weaver, Jason Cornwell
Constructing Virtual Asymmetric Opponents From Data And Models In The Literature: Case Of Crowd Rioting, Barry G. Silverman, Michael Johns, Kevin O'Brien, Ransom Weaver, Jason Cornwell
Barry G Silverman
This paper describes an effort to integrate human behavior models from a range of ability, stress, emotion, decision theoretic, and motivation literatures into a game-theoretic framework appropriate for representing synthetic asymmetric agents and scenarios. Our goal is to create a common mathematical framework (CMF) and an open agent architecture that allows one to research and explore alternative behavior models to add realism to software agents - e.g., physiology and stress, personal values and emotive states, and cultural influences. Our CMF is based on a dynamical, game-theoretic approach to evolution and equilibria in Markov chains representing states of the world that …
A Demonstration Of The Pmf-Extraction Approach: Modeling The Effects Of Sound On Crowd Behavior, Jason Cornwell, Barry G. Silverman, Kevin O'Brien, Michael Johns
A Demonstration Of The Pmf-Extraction Approach: Modeling The Effects Of Sound On Crowd Behavior, Jason Cornwell, Barry G. Silverman, Kevin O'Brien, Michael Johns
Barry G Silverman
The vast majority of psychology, sociology, and other social-science literature describing human behavior and performance does not reach the eyes of those of us working in the modeling and simulation community. Our recent work has been concerned with the extraction and implementation of Human Behavior Models(HBMs)/ Performance Moderator Functions(PMFs) from this literature. This paper demonstrates how our methodology was applied to extract models of the effects of music and sound on both individuals and groups and to implement them in a simulated environment. PMFs describing how several classes of sound affect decision-making and performance were constructed based on well-established psychological …
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Social Learning And Adoption Of New Behavior In A Virtual Agent Society, Benjamin D. Nye, Barry G. Silverman
Barry G Silverman
Social learning and adoption of new behavior govern the rise of a variety of behaviors: from actions as mundane as dance steps to those as dangerous as new ways to make IED detonators. However, agents in immersive virtual environments lack the ability to realistically simulate the spread of new behavior. To address this gap, a cognitive model was designed that represents the well-known socio-cognitive factors of attention, social influence, and motivation that influence learning and the adoption of a new behavior. To explore the effectiveness of this model, simulations modeled the spread of two competing memes in Hamariyah, an archetypal …
A Demonstration Of The Pmf-Extraction Approach: Modeling The Effects Of Sound On Crowd Behavior, Jason Cornwell, Barry G. Silverman, Kevin O'Brien, Michael Johns
A Demonstration Of The Pmf-Extraction Approach: Modeling The Effects Of Sound On Crowd Behavior, Jason Cornwell, Barry G. Silverman, Kevin O'Brien, Michael Johns
Barry G Silverman
The vast majority of psychology, sociology, and other social-science literature describing human behavior and performance does not reach the eyes of those of us working in the modeling and simulation community. Our recent work has been concerned with the extraction and implementation of Human Behavior Models(HBMs)/ Performance Moderator Functions(PMFs) from this literature. This paper demonstrates how our methodology was applied to extract models of the effects of music and sound on both individuals and groups and to implement them in a simulated environment. PMFs describing how several classes of sound affect decision-making and performance were constructed based on well-established psychological …
Constructing Virtual Asymmetric Opponents From Data And Models In The Literature: Case Of Crowd Rioting, Barry G. Silverman, Michael Johns, Kevin O'Brien, Ransom Weaver, Jason Cornwell
Constructing Virtual Asymmetric Opponents From Data And Models In The Literature: Case Of Crowd Rioting, Barry G. Silverman, Michael Johns, Kevin O'Brien, Ransom Weaver, Jason Cornwell
Barry G Silverman
This paper describes an effort to integrate human behavior models from a range of ability, stress, emotion, decision theoretic, and motivation literatures into a game-theoretic framework appropriate for representing synthetic asymmetric agents and scenarios. Our goal is to create a common mathematical framework (CMF) and an open agent architecture that allows one to research and explore alternative behavior models to add realism to software agents - e.g., physiology and stress, personal values and emotive states, and cultural influences. Our CMF is based on a dynamical, game-theoretic approach to evolution and equilibria in Markov chains representing states of the world that …