[SBP INFORMATIKA UNINDRA] Grup 8 x S7C * Representasi Pengetahuan
Summary
TLDRThe video script discusses knowledge representation in expert systems, focusing on its definition, purpose, and types. It explains that knowledge representation is essential for capturing problem characteristics and making information accessible to problem-solving procedures. The script covers various representation methods, including semantic networks, frames, decision tables, and scripts. It also touches on logic-based representation and the use of deduction and induction in problem-solving. The presentation aims to provide a comprehensive understanding of how knowledge is structured and utilized within artificial intelligence systems.
Takeaways
- π Knowledge Representation is a method used to encode knowledge within an expert system based on knowledge, aimed at capturing important problem characteristics and making the information accessible to problem-solving procedures.
- π Types of Knowledge Representation include Network, Structured Networks, Logic, Semantic Networks, Frames, and Decision Tables.
- π Network Representation captures knowledge as a graph where nodes represent objects or concepts of the problem, and edges represent relationships or associations.
- π Structured Networks expand on the basic network by making nodes complex data structures, such as frames, logic, neural networks, and genetic algorithms.
- π§ Logic Representation involves the use of deductive and inductive reasoning processes that are compatible with symbolic or mathematical manipulation by computers.
- π Semantic Networks graphically represent knowledge, showing hierarchical relationships among basic components of objects or concepts.
- πΌοΈ Frame Representation is a more complex way to store objects and attribute values, allowing objects to inherit values from other objects, unlike Semantic Networks.
- π Decision Tables are used to solve complex logic within algorithmic programs, containing multi-level decisions that are difficult to represent directly with structured English or pseudo code.
- π³ Decision Trees are an example of a structured representation that graphically represents decision-making processes based on symptoms or conditions.
- π The script also includes an example scenario of a student exam process, illustrating the use of scripts and frames to represent knowledge about events and actions.
Q & A
What is the definition of knowledge representation as mentioned in the script?
-Knowledge representation is a method used to encode knowledge in an expert system that is based on knowledge. It is intended to capture important characteristics of a problem and make that information accessible by problem-solving procedures.
What is the purpose of knowledge representation?
-The purpose of knowledge representation is to capture the important features of a problem and make the information accessible by problem-solving procedures, enabling programmers to express the knowledge required to find solutions to problems.
What are the types of knowledge representation mentioned in the script?
-The script mentions several types of knowledge representation including Network, Structured Network, Logic, Semantic Network, Frame, Decision Table, and Script.
How does a Network representation capture knowledge?
-A Network representation captures knowledge as a graph where nodes represent objects or concepts of the problem faced, while edges represent the relationships or associations between nodes.
What is the difference between a Semantic Network and a Structured Network?
-A Semantic Network represents knowledge in a graphical form showing the hierarchical relationships of objects, while a Structured Network expands on this by making nodes into complex data structures.
What is Logic representation and how does it relate to computer reasoning?
-Logic representation is a scientific study of a series of reasoning, principles, and procedures that assist in the reasoning process. It involves the use of deductive and inductive reasoning in a form suitable for computer manipulation, such as symbolic logic.
Can you explain the Frame representation in the context of the script?
-A Frame is a more complex way to store objects and attribute values compared to a Semantic Network. It adds intelligence to the data representation, allowing objects to inherit values from other objects.
How does a Decision Table represent knowledge?
-A Decision Table is used as an aid to solve logic within an algorithmic program. It contains multi-level decisions and is structured with four main parts: condition ST, condition entry, action stop, and action entry.
What is a Script representation and how does it depict knowledge?
-A Script representation depicts knowledge based on known characteristics as experiences, describing objects and the sequence of events. It uses slots containing information about objects and actions that occur in a certain sequence.
What is an example of a Script representation provided in the script?
-An example of a Script representation given in the script is the preparation and conduct of an examination, detailing the steps from preparing exam papers to collecting and checking answer sheets.
What are the limitations of knowledge representation as discussed in the script?
-The script implies that knowledge representation should be clear, comprehensive, and efficient in displaying the existing natural limitations. It should make things transparent and complete.
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