Testbed For Intelligent Agent: A survey
DOI:
https://doi.org/10.29304/jqcm.2021.13.2.816Keywords:
Benchmark and Testbed, Intelligent Agent, Classical Planning, TileWorld, PHOENIXAbstract
Revealing the features of the intelligent agent and its interactive behavior with complex environments whose events cannot be expected is a source of interest for researchers. What we will put in the hands of the interested person is to review key concepts in the design and implementation of test environments, noting the importance of the testbed, in addition to the knowledge bases required by these designs, presenting the definition of the intelligent agent and its features to be disclosed within the testbed. As for the types of test beds and their features, they have an important aspect in these papers.
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References
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[44] S. Hanks and D. McDermott, “Modeling a dynamic and uncertain world II: action representation and plan evaluation,” J. Log. Comput., 1993.
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[2] S. Hanks, M. E. Pollack, and P. R. Cohen, “Benchmarks, test beds, controlled experimentation, and the design of agent architectures,” AI Mag., vol. 14, no. 4, p. 17, 1993.
[3] G. J. Sussman, “A computer Model of Skill Acquisition. 133 p.” Elsevier Science/North-Holland, Amsterdam, London, New-York, 1975.
[4] S. Minton, M. D. Johnston, A. B. Philips, and P. Laird, “Solving Large-Scale Constraint-Satisfaction and Scheduling Problems Using a Heuristic Repair Method.,” in AAAI, 1990, vol. 90, pp. 17–24.
[5] D. S. Al-Azzawy and S. A. Diwan, “Design of Intelligent Agent Based management security system for E-government,” J. Al-Qadisiyah Comput. Sci. Math., vol. 9, no. 2, p. Page-131, 2017.
[6] P. Stone and M. Veloso, “Multiagent systems: A survey from a machine learning perspective,” Auton. Robots, vol. 8, no. 3, pp. 345–383, 2000.
[7] J. M. Bradshaw, S. Dutfield, P. Benoit, and J. D. Woolley, “KAoS: Toward an industrial-strength open agent architecture,” Softw. agents, vol. 13, pp. 375–418, 1997.
[8] C. I. Petrie, “Agent-based engineering, the web, and intelligence,” IEEE Expert, vol. 11, no. 6, pp. 24–29, 1996.
[9] A. A. Karim and N. M. Shati, “Abnormality Detection using K-means Data Stream Clustering Algorithm in Intelligent Surveillance System,” J. AL-Qadisiyah Comput. Sci. Math., vol. 9, no. 1, pp. 82–98, 2017.
[10] N. R. Jennings and M. Wooldridge, “Applications of intelligent agents,” in Agent technology, Springer, 1998, pp. 3–28.
[11] Å. Rönnbom and L. Andersson, “Intelligent Agents-A New Technology for Future Distributed Sensor Systems?,” 1999.
[12] M. S. Al-Abraheemee, “Intelligent Agent for PCManagr Application,” J. Al-Qadisiyah Comput. Sci. Math., vol. 1, no. 2, pp. 84–94, 2009.
[13] P. Maes, “aAgents that Reduce Work and Information Overload, o Comm.” ACM, 1994.
[14] H. S. Nwana and D. T. Ndumu, “A brief introduction to software agent technology,” in Agent technology, Springer, 1998, pp. 29–47.
[15] T. Koda and P. Maes, “Agents with faces: The effect of personification,” in Proceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN’96 TSUKUBA, 1996, pp. 189–194.
[16] P. Maes, “Artificial life meets entertainment: lifelike autonomous agents,” Commun. ACM, vol. 38, no. 11, pp. 108–114, 1995.
[17] C. G. Harrison, D. M. Chess, and A. Kershenbaum, Mobile Agents: Are they a good idea? IBM TJ Watson Research Center Yorktown Heights, New York, 1995.
[18] S. Franklin and A. Graesser, “Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents,” in International workshop on agent theories, architectures, and languages, 1996, pp. 21–35.
[19] H. V. D. Parunak, “Practical and industrial applications of agent-based systems,” Environ. Res. Inst. Michigan, 1998.
[20] B. Hayes-Roth, “An architecture for adaptive intelligent systems,” Artif. Intell., vol. 72, no. 1–2, pp. 329–365, 1995.
[21] S. J. Russell and P. Norvig, “Artificial Intelligence-A Modern Approach, Third Int. Edition.” Pearson Education, Upper Saddle River, NJ, USA, 2010.
[22] M. J. Wooldridge and N. R. Jennings, “Intelligent agents: Theory and practice,” Knowl. Eng. Rev., vol. 10, no. 2, pp. 115–152, 1995.
[23] K. S. Løland, “Intelligent agents in computer games.” Institutt for datateknikk og informasjonsvitenskap, 2008.
[24] O. A. Raheem and E. S. Alomari, “An Adaptive Intrusion Detection System by using Decision Tree,” J. AL-Qadisiyah Comput. Sci. Math. Vol, vol. 10, no. 2, 2018.
[25] S. J. Hanks, “Projecting plans for uncertain worlds.” Yale University, 1990.
[26] P. E. Agre and D. Chapman, “Pengi: An Implementation of a Theory of Activity.,” in AAAI, 1987, vol. 87, no. 4, pp. 272–286.
[27] M. E. Bratman, D. J. Israel, and M. E. Pollack, “Plans and resource‐bounded practical reasoning,” Comput. Intell., vol. 4, no. 3, pp. 349–355, 1988.
[28] S. J. Russell and E. Wefald, Do the right thing: studies in limited rationality. MIT press, 1991.
[29] T. L. Dean and M. S. Boddy, “An Analysis of Time-Dependent Planning.,” in AAAI, 1988, vol. 88, pp. 49–54.
[30] D. S. Weld and J. De Kleer, Readings in qualitative reasoning about physical systems. Morgan Kaufmann, 2013.
[31] L. Chrisman and R. G. Simmons, “Sensible Planning: Focusing Perceptual Attention.,” in AAAI, 1991, pp. 756–761.
[32] P. Haddawy and S. Hanks, “Utility Models for Goal‐Directed, Decision‐Theoretic Planners,” Comput. Intell., vol. 14, no. 3, pp. 392–429, 1998.
[33] M. P. Wellman and J. Doyle, “Preferential Semantics for Goals.,” in AAAI, 1991, vol. 91, pp. 698–703.
[34] L. G. Gasser and A. H. Bond, Readings in distributed artificial intelligence. M. Kaufmann, 1988.
[35] A. M. Law, W. David Kelton, and L. W. Koenig, “Relative width sequential confidence intervals for the mean: Relative width sequential confidence intervals,” Commun. Stat. Comput., vol. 10, no. 1, pp. 29–39, 1981.
[36] P. Langley and M. Drummond, “Toward an experimental science of planning,” in Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling, and Control, 1990, pp. 109–114.
[37] L. A. Noor, “Predictive Model based on Logical Analysis of Data,” J. AL-Qadisiyah Comput. Sci. Math., vol. 6, no. 1, pp. 52–56, 2014.
[38] M. E. Pollack and M. Ringuette, “Introducing the Tileworld: Experimentally evaluating agent architectures,” in AAAI, 1990, vol. 90, pp. p183-189.
[39] A. B. Philips and J. L. Bresina, “Nasa tileworld manual (system version 2.2),” 1991.
[40] T. Montgomery, J. Lee, D. Musliner, E. Durfee, and D. Darmouth, “Y. So. MICE users guide,” Technical Report CSE-TR-64-90, Dept. of Electrical Engineering and Computer …, 1992.
[41] T. A. Montgomery and E. H. Durfee, “Using MICE to study intelligent dynamic coordination,” in [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990, pp. 438–444.
[42] D. Hart and P. Cohen, “PHOENIX: A test bed for shared planning research,” 1990.
[43] D. Nguyen, S. Hanks, and C. Thomas, “The TRUCKWORLD manual,” Technical Report TR 93-09-08, Dept. of Computer Science and Engineering …, 1993.
[44] S. Hanks and D. McDermott, “Modeling a dynamic and uncertain world II: action representation and plan evaluation,” J. Log. Comput., 1993.
[45] S. Hanks and D. McDermott, “Modeling a dynamic and uncertain world i: Symbolic and probabilistic reasoning about change,” Artif. Intell., vol. 66, no. 1, pp. 1–55, 1994.
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Published
2021-07-07
How to Cite
Kareem, A. M., & Obied, A. (2021). Testbed For Intelligent Agent: A survey. Journal of Al-Qadisiyah for Computer Science and Mathematics, 13(2), Comp Page 23 – 36. https://doi.org/10.29304/jqcm.2021.13.2.816
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Computer Articles
