Procedural knowledge, also known as imperative knowledge, is the knowledge exercised in the
performance of some task.
Procedural knowledge is different from other kinds of knowledge, such as declarative knowledge,
in that it can be directly applied to a task.
For instance, the procedural knowledge one uses to solve problems differs from the declarative
knowledge one possesses about problem solving because this knowledge is formed by doing.
In some legal systems, such procedural knowledge has been considered the intellectual property
of a company, and can be transferred when that company is purchased.
One limitation of procedural knowledge is its job-dependent so it tends to be less general
than declarative knowledge.
For example, a computer expert might have knowledge about a computer algorithm in multiple
languages, or in pseudo-code, but a Visual Basic programmer might know only about a specific
implementation of that algorithm, written in Visual Basic.
Thus the 'hands-on' expertise and experience of the Visual Basic programmer might be of
commercial value only to Microsoft job-shops, for example.
One advantage of procedural knowledge is that it can involve more senses, such as hands-on
experience, practice at solving problems, understanding of the limitations of a specific
solution, etc.
Thus procedural knowledge can frequently eclipse theory.
Contexts: Artificial intelligence:
In artificial intelligence, procedural knowledge is one type of knowledge that can be possessed
by an intelligent agent.
Such knowledge is often represented as a partial or complete finite-state machine or computer
program.
A well-known example is the Procedural Reasoning System, which might, in the case of a mobile
robot that navigates in a building, contain procedures such as "navigate to a room" or
"plan a path".
In contrast, an AI system based on declarative knowledge might just contain a map of the
building, together with information about the basic actions that can be done by the
robot (like moving forward, turning, and stopping), and leave it to a domain-independent planning
algorithmto discover how to use those actions to achieve the agent's goals.
Cognitive psychology: In cognitive psychology, procedural knowledge
is the knowledge exercised in the accomplishment of a task, and thus includes knowledge which,
unlike declarative knowledge, cannot be easily articulated by the individual, since it is
typically nonconscious (or tacit).
Many times, the individual learns procedural knowledge without even being aware that they
are learning (Stadler,1989).
For example, most individuals can easily recognize a specific face as "attractive" or a specific
joke as "funny," but they cannot explain how exactly they arrived at that conclusion or
they cannot provide a working definition of "attractiveness" or being "funny."
This example illustrates the difference between procedural knowledge and the ordinary notion
of knowing how, a distinction which is acknowledged by many cognitive psychologists (Stillings,
et al.
Cognitive Science: An Introduction, 2nd edition, Cambridge, MA: MIT Press, 1995, p. 396).
Ordinarily, we would not say that one who is able to recognize a face as attractive
is one who knows how to recognize a face as attractive.
One knows how to recognize faces as attractive no more than one knows how to recognize certain
arrangements of leptons, quarks, etc. as tables.
Recognizing faces as attractive, like recognizing certain arrangements of leptons, quarks, etc.
as tables, is simply something that one does, or is able to do.
It is, therefore, an instance of procedural knowledge, though it is not an instance of
know-how.
Of course, both forms of knowledge are, in many cases, nonconscious.
For instance, research by a cognitive psychologist Pawel Lewicki has demonstrated that procedural
knowledge can be acquired by nonconscious processing of information about covariations.
Educational implications: In the classroom, procedural knowledge is
part of the prior knowledge of a student.
In the context of formal education procedural knowledge is what is learned about learning
strategies.
It can be the "tasks specific rules, skills, actions, and sequences of actions employed
to reach goals" a student uses in the classroom.
As an example for procedural knowledge Cauley refers to how a child learns to count on their
hands and/or fingers when first learning math.
The Unified Learning Model explicates that procedural knowledge helps make learning more
efficient by reducing the cognitive load of the task.
In some educational approaches, particularly when working with students with learning disabilities,
educators perform a task analysis followed by explicit instruction with the steps needed
to accomplish the task.
Intellectual property law: In intellectual property law, procedural knowledge
is a parcel of closely held information relating to industrial technology, sometimes also referred
to as a trade secret which enables its user to derive commercial benefit from it.
It is a component of the intellectual property rights on its own merits in most legislations
but most often accompanies the license to the right-of-use of patents or trademarks
owned by the party releasing it for circumscribed use.
Procedural knowledge is not however solely composed of secret information that is not
in the public domain; it is a "bundled" parcel of secret and related non-secret information
which would be novel to an expert in the field of its usage.
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