ACM Home Page
Please provide us with feedback. Feedback
An ontology-based dictionary of understanding as a basis for software agents with understanding abilities
Full text PdfPdf (125 KB)
Source Spring Simulation Multiconference archive
Proceedings of the 2007 spring simulation multiconference - Volume 2 table of contents
Norfolk, Virginia
SESSION: Agent taxonomies table of contents
Pages 19-27  
Year of Publication: 2007
ISBN:1-56555-313-6
Authors
Tuncer I. Ören  University of Ottawa, Ottawa, ON, Canada and Beykent University, Istanbul, Turkey
Nasser Ghassem-Aghaee  University of Isfahan, Isfahan, Iran
Levent Yilmaz  Auburn University, Auburn, AL
Sponsors
SCS : Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery/Special Interest Group on Simulation
Publisher
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 10,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

Nearly 60 types of machine understanding is presented in an ontology-based dictionary as a basis for the development of software agents with understanding abilities. Then a framework for software agents is presented.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
CAA -- A Survey of Cognitive and Agent Architecture. http://ai.eecs.umich.edu/cogarch0/
 
2
Odell, J., M. Nodine, and R. Levy, A Metamodel for Agents, Roles, and Groupes. http://www.omg.org/docs/agent/04-12-04.rtf
 
3
Ören, T. I. and M. S. Elzas, (1987). Technical Foundations for Quality Assurance of Systems Engineering Activities for Safety Assessment. In: Waste Management '87, R. G. Post (ed.). Proc. of the Waste Management Conf., Tucson, Arizona, March 1-5, 1987, pp. 275--281.
 
4
Ören, T. I. (2000 -- Invited Opening Paper). <u>Understanding: A Taxonomy and Performance Factors.</u> In: D. Thiel (ed.) Proc. of FOODSIM'2000, June 26-27, 2000, Nantes, France. SCS, San Diego, CA, pp. 3--10.
 
5
Ören, T. I. (2002). Ethics as a Basis for Sustainable Civilized Behavior for Humans and Software Agents. Acta Systemica, 2:1, 1--5.
 
6
Paskin, N. (2006). Names and Meaning: Requirements for Internet Progress, In Position Papers for Wokshop on Internet Governance for Development: Focusing on the Issues, pp.49--57. http://www.oii.ox.ac.uk/events/details.cfm?id=23
 
7
Scheutz, M. and V. Andronache. The APOC Framework for the Comparison of Agent Architrectures. http://www.nd.edu/~airolab/publications/aaai04ws.pdf
 
8
Tennyson, R. D. and K. Breuer, (2002). Improving Problem Solving and Creativity Through Use of Complex-Dynamic Simulations. Computers in Human Behavior, vol. 18, issue 6, November, pp. 650--668.
 
9
Yang, Y., M. Okamoto, T. Ishida (2000). Applying Wizard of Oz Method of Learning Interface Agent, IEEE Transactions, Fundamentals, Vol. E00-A, No. 1 (January), pp.1--8.
 
10
 
11
Zeigler, B. P. (1986). "Systems Knowledge: A Definition and its Implications." In: Modelling and Simulation Methodology in the Artificial Intelligence Era, M. S. Elzas, T. I. Ören, B. P. Zeigler (eds.), North-Holland, Amsterdam, pp 15--17.


Collaborative Colleagues:
Tuncer I. Ören: colleagues
Nasser Ghassem-Aghaee: colleagues
Levent Yilmaz: colleagues