Paper
13 August 2004 Cognitive/emotional models for human behavior representation in 3D avatar simulations
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Abstract
Simplified models of human cognition and emotional response are presented which are based on models of auditory/ visual polymodal fusion. At the core of these models is a computational model of Area 37 of the temporal cortex which is based on new isocortex models presented recently by Grossberg. These models are trained using carefully chosen auditory (musical sequences), visual (paintings) and higher level abstract (meta level) data obtained from studies of how optimization strategies are chosen in response to outside managerial inputs. The software modules developed are then used as inputs to character generation codes in standard 3D virtual world simulations. The auditory and visual training data also enable the development of simple music and painting composition generators which significantly enhance one's ability to validate the cognitive model. The cognitive models are handled as interacting software agents implemented as CORBA objects to allow the use of multiple language coding choices (C++, Java, Python etc) and efficient use of legacy code.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James K. Peterson "Cognitive/emotional models for human behavior representation in 3D avatar simulations", Proc. SPIE 5423, Enabling Technologies for Simulation Science VIII, (13 August 2004); https://doi.org/10.1117/12.540425
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KEYWORDS
Cognitive modeling

3D modeling

Data modeling

Visual process modeling

Neurons

Visualization

C++

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