CMSC 425 Dave Mount CMSC 425 : Lecture 14 Artificial Intelligence for Games :
نویسنده
چکیده
What is Artificial Intelligence? Artificial intelligence (AI) can be defined (circularly) as “the study of computational systems that exhibit intelligence.” Unfortunately, it is not easy to define what we mean by “intelligence.” In the context of games, an in particular in the design of non-player characters (NPCs) a working definition might be, “It is whatever a person would do.” (Where, of course, the word “person” might be replaced by “soldier,” “zombie,” or “enchanted unicorn,” whatever makes sense for the current context.)
منابع مشابه
CMSC 425 Dave Mount CMSC 425 : Lecture 16 Artificial Intelligence for Games :
What is Artificial Intelligence? Artificial intelligence (AI) can be defined (circularly) as “the study of computational systems that exhibit intelligence.” Unfortunately, it is not easy to define what we mean by “intelligence.” In the context of games, an in particular in the design of non-player characters (NPCs) a working definition might be, “It is whatever a person would do.” (Where, of co...
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Designing general-purpose AI systems that are capable of modeling interesting behaviors is a challenging task. On the one hand, we would like our AI system to be general enough to provide a game designer the ability to specify the subtle nuances that make a character interesting. On the other hand we would like the system to be easy to use and powerful enough that relatively simple behaviors ca...
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Decision Making: Designing general-purpose AI systems that are capable of modeling interesting behaviors is a challenging task. On the one hand, we would like our AI system to be general enough to provide a game designer the ability to specify the subtle nuances that make a character interesting. On the other hand we would like the system to be easy to use and powerful enough that relatively si...
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Reading: Today’s material is drawn from a variety of sources. Some of the material on particle systems is drawn from lecture notes by Alex Benton from the University of Cambridge and the classic paper “Particle Systems: A Technique for Modeling a Class of Fuzzy Objects,” by W. T. Reeves, ACM Transactions on Graphics, 2, 1983, 91–108. The material on flocking is based in part on C. W. Reynolds, ...
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