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Knowledge Modelling in Various applications in
Traffic SystemsPresented by : Yomna Hassan
Submitted to : Dr. Hesham Hassan
Techniques of Knowledge Modelling Difference in knowledge modelling
techniques Generic Tasks in Traffic Systems CommonKADS in Traffic Systems MAS CommonKADS DVO CommonKADS model Conclusions
Contents
Generic Tasks CommonKADS
Techniques of Knowledge Modelling
Generic Tasks focus mainly on knowledge part of the system
CommonKADS includes the organizational structure of the whole system, tasks and communications, and knowledge model.
CommonKADS is more adaptive to existence of intelligence within the system structure
Difference in knowledge modelling techniques
CommonKADS in Traffic Systems
CommonKADS
organization modeltask model
agent model
knowledge-intensive
task
communicationmodel
knowledgemodel
designmodel
requirementsspecification
for interaction functions
requirementsspecification
for reasoning functions
task selected in feasibility studyand further detailed in Task and Agent Models
Knowledge Categories
Generic Traffic System
In this modelling context, which reveals an activity based on experiences (i.e. cases) reusing locate the incident reusing activity into the global control activity. identify relevant descriptors of the incident case model. identify discriminant index to organize the case base. define a similarity metric for matching. register knowledge necessary to adapt solution part of the selected case,
in order to solve the current problem. Elicitation sessions of the expertise, in the control room, are based on
different methods: document analysis, interviews, repertory grids, traffic manager's activities analysis and results of the activity (problem reports).
Each method presents an own goal and allows, generally, to obtain a particular type of knowledge. Therefore, it is necessary to use these methods concurrently, one cancelling out the drawbacks of others taken apart, benefiting the qualities of each one
Knowledge Elicitation
From interviews with traffic management experts, we have found that a large part of their knowledge is episodic. That is, the expert solves a new problem by relating the current network situation to his previous experiences.
These experiences are sometimes specific incidents, with real dates and places, and sometimes general classes of similar occasions.
Knowledge Elicitation (Cont’d)
Traffic system Domain architecture
Task decomposition structure
primitive inferences of the knowledge model
Focus on human –computer not computer-computer interactions
A restricted form of dynamic task assignment can be done
Multi-partner transactions not dealt with naturally
Therefore a new model: coordination model is proposed
Disadvantages of CommonKADS in Multi-agent systems
MAS-CommonKADS extends the knowledge engineering methodology CommonKADS with techniques from object oriented and protocol engineering methodologies.
MAS-CommonKADS
Mas commonkads
Existence of dynamic traffic systems Crowd-sourcing dependent
Dynamic Virtual Organization Creation for Traffic Systems
The CommonKADS control structure models for DVO
identification and formation phases
1. Yassa, Morcous. "Utilizing CommonKADS as Problem-Solving and Decision-Making for Supporting Dynamic Virtual Organization Creation." IAES International Journal of Artificial Intelligence (IJ-AI) 3.1 (2014).
2. Davidsson, Paul. "Intelligent Transport and Energy Systems Using Agent Technology." Twelfth Scandinavian Conference on Artificial Intelligence: SCAI 2013. Vol. 257. IOS Press, 2013.
3. Gascuena, Jose M., and Antonio Fernández-Caballero. "On the use of agent technology in intelligent, multisensory and distributed surveillance." Knowledge Engineering Review 26.2 (2011): 191-208.
4. Abreu, Bruno, et al. "Video-based multi-agent traffic surveillance system."Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE. IEEE, 2000.
5. Caulier, Patrice, and Bernard Houriez. "A case-based reasoning approach in network traffic control." Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on. Vol. 2. IEEE, 1995.
6. Dieng, Rose, et al. "Building of a corporate memory for traffic-accident analysis." AI magazine 19.4 (1998): 81.
7. Molina, Martin, J. O. S. E. F. A. HERN Á, and JOS É. CUENA. "A structure of problem-solving methods for real-time decision support in traffic control."International Journal of Human-Computer Studies 49.4 (1998): 577-600.
8. Iglesias, Carlos A., et al. "A methodological proposal for multiagent systems development extending CommonKADS." Proceedings of the 10th Banff knowledge acquisition for knowledge-based systems workshop. Vol. 1. 1996.
References