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有两种类型的搜索算法试验了这种模型:'''随机搜索 Random Search'''和'''深度优先搜索 Depth First Search'''。随机搜索是指每个主体在环境中朝任意方向前进,并试图找到一条出路。深度优先搜索是指主体尽可能沿着一条路径搜索,如果它们所经过的路径不包含出口则返回并尝试另一条路径。结果发现,深度优先搜索比随机搜索的速度快15倍(--[[用户:嘉树|嘉树]]([[用户讨论:嘉树|讨论]])If was found 怀疑原文有误,应该是It was found)
 
有两种类型的搜索算法试验了这种模型:'''随机搜索 Random Search'''和'''深度优先搜索 Depth First Search'''。随机搜索是指每个主体在环境中朝任意方向前进,并试图找到一条出路。深度优先搜索是指主体尽可能沿着一条路径搜索,如果它们所经过的路径不包含出口则返回并尝试另一条路径。结果发现,深度优先搜索比随机搜索的速度快15倍(--[[用户:嘉树|嘉树]]([[用户讨论:嘉树|讨论]])If was found 怀疑原文有误,应该是It was found)
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=== Scalable simulations 可扩展的模拟===
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=== Scalable simulations 可伸缩的模拟===
    
There are many different case situations that come into play in crowd simulations.<ref>{{cite book |doi=10.1109/ICPP.2008.20 |chapter=A Scalable Architecture for Crowd Simulation: Implementing a Parallel Action Server |title=2008 37th International Conference on Parallel Processing |pages=430–7 |year=2008 |last1=Vigueras |first1=G. |last2=Lozano |first2=M. |last3=Pérez |first3=C. |last4=Orduña |first4=J.M. }}</ref> Recently, crowd simulation has been essential for the many virtual environment applications such as education, training, and entertainment.  Many situations are based on the environment of the simulation or the behavior of the group of local agents.  In virtual reality applications, every agent interacts with many other agents in the environment, calling for complex real-time interactions.  Agents must have continuous changes in the environment since agent behaviors allow complex interactions.  Scalable architecture can manage large crowds through the behavior and interactive rates.  These situations will indicate how the crowds will act in multiple complex scenarios while several different situations are being applied.  A situation can be any circumstance that has typical local behaviors.  We can categorize all situations into two different kinds.
 
There are many different case situations that come into play in crowd simulations.<ref>{{cite book |doi=10.1109/ICPP.2008.20 |chapter=A Scalable Architecture for Crowd Simulation: Implementing a Parallel Action Server |title=2008 37th International Conference on Parallel Processing |pages=430–7 |year=2008 |last1=Vigueras |first1=G. |last2=Lozano |first2=M. |last3=Pérez |first3=C. |last4=Orduña |first4=J.M. }}</ref> Recently, crowd simulation has been essential for the many virtual environment applications such as education, training, and entertainment.  Many situations are based on the environment of the simulation or the behavior of the group of local agents.  In virtual reality applications, every agent interacts with many other agents in the environment, calling for complex real-time interactions.  Agents must have continuous changes in the environment since agent behaviors allow complex interactions.  Scalable architecture can manage large crowds through the behavior and interactive rates.  These situations will indicate how the crowds will act in multiple complex scenarios while several different situations are being applied.  A situation can be any circumstance that has typical local behaviors.  We can categorize all situations into two different kinds.
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任何情境的结构都建立在四个组件之上: '''行为函数Behavior Functions'''、'''传感器Sensors'''、'''状态States'''和'''事件规则Event Rules'''。行为函数表示特定情况下的特定行为。传感器是一种感知能力,可以让主体看到并对事件做出反应。状态是仅用于局部行为的不同运动和状态转移。事件规则是将不同的事件与其特定的行为联系起来的方法。当一个角色被置于一个情境中时,这四个组件将被同时考虑。对于空间情景,当个体最初进入影响角色的环境时就添加组件。对于非空间情境,只有当用户将情境赋给角色时,角色才会受到影响。当主体被带离情境区域或情境本身被移除时,这四个组件被移除。动态地添加和删除这些情境使我们能够实现'''可伸缩的主体Scalable Agents'''。
 
任何情境的结构都建立在四个组件之上: '''行为函数Behavior Functions'''、'''传感器Sensors'''、'''状态States'''和'''事件规则Event Rules'''。行为函数表示特定情况下的特定行为。传感器是一种感知能力,可以让主体看到并对事件做出反应。状态是仅用于局部行为的不同运动和状态转移。事件规则是将不同的事件与其特定的行为联系起来的方法。当一个角色被置于一个情境中时,这四个组件将被同时考虑。对于空间情景,当个体最初进入影响角色的环境时就添加组件。对于非空间情境,只有当用户将情境赋给角色时,角色才会受到影响。当主体被带离情境区域或情境本身被移除时,这四个组件被移除。动态地添加和删除这些情境使我们能够实现'''可伸缩的主体Scalable Agents'''。
--[[用户:嘉树|嘉树]]([[用户讨论:嘉树|讨论]]) Scalable 翻译为“可变的”会不会好一点? 此处的搭配包括Scalable Agents,Scalable architecture
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--[[用户:嘉树|嘉树]]([[用户讨论:嘉树|讨论]]) Scalable 翻译为“可变的”会不会好一点? 此处的搭配包括Scalable Agents,Scalable architecture 和Scalable simulations
    
== Human-like behaviors and crowd AI ==
 
== Human-like behaviors and crowd AI ==
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