Computer
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Hierarchical Model for Real Time Simulation of Virtual Human Crowds
IEEE Transactions on Visualization and Computer Graphics
Controlling individual agents in high-density crowd simulation
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
A domain-independent framework for modeling emotion
Cognitive Systems Research
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Transactions on computational science XII
Validation of agent-based simulation through human computation: an example of crowd simulation
MABS'11 Proceedings of the 12th international conference on Multi-Agent-Based Simulation
Hi-index | 0.00 |
This paper presents our ongoing work on modeling agents with human-like decision making and behavior execution capabilities in crowd simulation. We aim to provide a generic framework that reflects the major cognitive and physical processes as observed from human behaviors in real-life situations. The design of the framework is based on some basic assumptions and related cognitive theories on human behaviors in various real-life situations. In this paper, the cognitive architecture of our framework is presented, which emphasizes the role of experiences in human's decision making. The paper also briefly describes the design of agent's decision making process and presents a case study to show some results in a crowd simulation scenario.