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4 (2003) 952-960. 28. N. P. Li et al. ) Wavelet Analysis and Its Applications, and Active Media Technology, Vol. 2, World Scientific (2004) 555-567. 29. N. L. Wu, A. Nakamaru, M. Ohshima, and H. Mizuhara, “Peculiarity Oriented fMRI Brain Data Analysis for Studying Human Multi-Perception Mechanism”, Cognitive Systems Research, 5(3), Elsevier (2004) 241-256. 30. N. Zhong, and J. ) Intelligent Technologies for Information Analysis, Springer, 2004. 31. N. Zhong, J. Hu, S. L. Wu, and C. Liu, “Building a Data Mining Grid for Multiple Human Brain Data Analysis”, Computational Intelligence, 21(2), Blackwell Publishing (2005) 177-196.
G. Hernandez, A. E. Segrouchini, and H. Soldano. BDI multiagent learning based on ﬁrst-order induction of logical decision trees. In S. O. N. Zhong, J. Liu and J. Bradshaw, editors, Intelligent Agent Technology: Research and Development. World Scientiﬁc, New Jersey, 2001. 4. F. Ingrand, M. Georgeﬀ, and A. Rao. An architecture for real-time reasoning and system control. In IEEE Expert, volume 7(6), pages 34–44. 1992. 5. F. F. Ingrand and M. P. Georgeﬀ. Managing deliberation and reasoning in real-time AI systems.
At one moment, the agent has beliefs about the buttons’ positions and its own last action. Following the Markovian model of decision processes, these beliefs represent a state. Let’s say, initially, the agent has the following belief based on its initial perception: button pos(black, white) which states that the black button is on the left and the white one is on the right. The predicate last act(A) is used to refer to the last action taken, and is added after the agent do the ﬁrst action. The A can be press(left) for pressing the button on the left or press(right) for pressing the one on the right.