Topology conserving mappings for learning motor tasks
AIP Conference Proceedings 151 on Neural Networks for Computing
Self-Organizing Maps
On Clustering Validation Techniques
Journal of Intelligent Information Systems
The Knowledge Engineering Review
A Hybrid View in a Laparoscopic Surgery Training System
ECBS '07 Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems
Defining Spatial Regions in Computer-Assisted Laparoscopic Surgical Training
ECBS '09 Proceedings of the 2009 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems
Task allocation via self-organizing swarm coalitions in distributed mobile sensor network
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Safety Oriented Laparoscopic Surgery Training System
Computer Aided Systems Theory - EUROCAST 2009
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This paper describes the development of a Sensor-Actuator Network (SANET) middleware environment to model laparoscopic procedures in a simulated environment. This case study examines the use of software agents to represent the organic subject (where the surgical procedure is performed) and the surgical tool/effector being manipulated by the end user (the surgeon performing the operation). Developed using the Belief-Desire-Intention (BDI) agent-based software reasoning approach by Rao and Georgeff (1995), the interaction of the agent elements in the simulation, coupled with the feedback mechanisms as the operator interacts with the simulated tissue, will aid in the simulation of laparoscopic procedures for medical training.