行为型模式关注做事的过程，也就是算法及对象间的交互。提供了构思及规划计算过程的好办法。
Pattern Description chain apply a chain of successive handlers to try and process the data catalog general methods will call different specialized methods based on construction parameter chaining_method continue callback next object method command bundle a command and arguments to call later iterator traverse a container and access the container's elements mediator an object that knows how to connect other objects and act as a proxy memento generate an opaque token that can be used to go back to a previous state observer provide a callback for notification of events/changes to data publish_subscribe a source syndicates events/data to 0+ registered listeners registry keep track of all subclasses of a given class specification business rules can be recombined by chaining the business rules together using boolean logic state logic is organized into a discrete number of potential states and the next state that can be transitioned to strategy selectable operations over the same data template an object imposes a structure but takes pluggable components visitor invoke a callback for all items of a collection
已经介绍过了责任链（chain），命令（command），观察者（observer），状态（state），策略（strategy），模版（template），访问者（visitor），似乎很多没有介绍过，但是对于Python语言，其中的迭代器（iterator）模式似乎很是多余，故在此忽略。
下面将扼要介绍以下catalog，mediator，memnto，publish_subscribe，registry和specification这些模式。
对于catalog模式：
对于 mediator（中介） 模式：
对于 memnto（备忘录） 模式：
对于 registry 模式：
对于 specification 模式：
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