By J. Lu, et al.
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Additional resources for Autonomy Oriented Computing
An entity in AOC does not have mental parameters as in AOP. 2 AUTONOMY ORIENTED COMPUTING Computational Methodologies Now let us examine the computational philosophies of different paradigms. In both OOP and AOP, computation is embodied as a process of message passing and response among objects or agents. In AOP, computation involves certain techniques from Artificial Intelligence, such as knowledge representation, inference, and reasoning mechanisms. , transport scheduling) [Kuhnel, 1997]. In AOC, computation is carried out through the self-organization of autonomous entities.
In the case of a bird flocking simulation, this information includes the speeds of birds, directions in which they are heading, and the distances between the birds in question. Details of the content and format of this information need to be defined according to the system to be modeled or the problem to be solved. 1. Functional modules in an autonomous entity. , the birds up to 2 grids in front). Environmental information conveys the status of a certain feature, for example, the presence of food, which is of interest to an autonomous entity.
Tang, Yi Tang, Yuanshi Wang, Jianbing Wu, Yiyu Yao, Yiming Ye, Shiwu Zhang, Yi Zhao, Ning Zhong, and Huijian Zhou. We wish to thank the Computer Science Department at Hong Kong Baptist University for providing an ideal, free environment for us to develop this exciting research field. We want to acknowledge the support of the following research grants: (1) Hong Kong Research Grant Council (RGC) Central Allocation Grant (HKBU 2/03/C) and Earmarked Research Grants (HKBU 2121/03E)(HKBU 2040/02E), (2) Hong Kong Baptist University Faculty Research Grants (FRG), (3) National Grand Fundamental Research 973 Program of China (2003CB316901), and (4) Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology (KP0705200379).