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We claim that computing forms of consensus among several agents about their solutions to past problems can play a useful pre-treatment role in case-based reasoning. Intuitively, we define a consensus as a subset of the plain accumulation of all the agents' individual past discovered solutions such that every agent can agree on all the information in this subset. A consensus can be expected to form...
This paper presents an action guided constraint satisfaction technique for planning problem. Different from the standard algorithms which are almost domain independence and cannot reflect the characteristics of the planning progress, we discuss how the action rules in planning act in constraint satisfaction problems. Based on the conclusion, an action directed constraint is proposed to guide the variable...
Based on experimental data from the large amplitude oscillation experiment conducted with two degrees of freedom, this work studies and compares the ability of Polynomial Regression, LS-SVM and RBF network to describe the characteristics of unsteady nonlinear aerodynamics. This work also develops a hybrid model for use in unsteady nonlinear aerodynamics based on the standard boosting method. The results...
Metacognition has been used in artificial intelligence to increase the level of autonomy of intelligent systems. However the design of systems with metacognitive skills is a difficult task due to the number and complexity of processes involved. This paper describes a MOF-based visual metacognitive modeling tool named MetaThink. MetaThink has a core based on a metacognitive metamodel named MISM. MetaThink...
This paper presents Racer, a car-racing simulator where the human player races a car against three game-controlled cars in a three-dimensional environment. The game incorporates artificial intelligence (AI) techniques, and the objective of AI in video games is not to defeat the human player, but to provide the player with a challenging and enjoyable experience. The game is a software simulation that...
In the iron-making process, the state of burning through point (BTP) is the closure of sintering which is one of the most important parameters in judging the state of sintering. Based on the PSO (Particle Swarm Optimization)-inversion soft-sensing method, the BTP which can not be directly measured in the iron-making process is soft-sensed in this paper. Firstly, the principle of sintering is studied...
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