Active Directory Schema (AD Schema). 2 minutes to read.In this articleThe Microsoft Active Directory schema contains formal definitions of every object class that can be created in an Active Directory forest. The schema also contains formal definitions of every attribute that can exist in an Active Directory object. This section provides the reference for each schema object and provides a brief explanation of the attributes, classes, and other objects that make up the Active Directory schema. NoteThe following documentation contains the programming reference for Active Directory schema. If you are an end-user attempting to debug a printer error, try searching on the.
If you are a developer looking for a general overview of Active Directory schema, see the overview topics. If you are looking for programming guidelines for updating or modifying the schema, For more information about extending and customizing the schema, see, as well as many of the topics in the and programming guides.In each of the reference topics, there is a section for each operating system that the topic applies to.
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The following operating systems are currently supported. PlatformName in topicMicrosoft Windows Server 2003Windows Server 2003Microsoft Active Directory Application Mode (ADAM)ADAMMicrosoft Windows Server 2003 R2Windows Server 2003 R2Microsoft Windows Server 2008Microsoft Windows Server 2008Microsoft Windows Server 2008 R2Microsoft Windows Server 2008 R2Microsoft Windows Server 2012Microsoft Windows Server 2012If an operating system is not listed in the topic, the topic is not supported on that operating system. For example, if a topic only lists Windows Server 2003 and ADAM, then the topic does not apply to Windows Server 2003 R2.The following sections contain detailed information about the Active Directory schema elements.
The term action schema(s) refers to a central concept of Piagetian epistemology and intellectual development as well as to a variety of techniques and languages for modeling sequential decision-making problems within the realm of machine learning and artificial intelligence (AI). In both fields of application, the basic assumption is that intelligent systems are active beings, that impact consciously and intentionally their environments. As a means of action regulation, theschema of an action is defined as the structured whole of the universalized characteristics of this action, i.e., the characteristics which enable intelligent systems to repeat the action and apply it to new contents. Closely related with actions schemas is the concept ofaction slips defined as the performance of actions which are not intended but carried out.