Did any of the connections you made surprise you?.What types of relationships were you able to express using the semantic network? What was harder to capture?.The student’s partner should answer the questions using the semantic network as their only guide (simulating an AI agent whose only knowledge is based on the semantic network). Two students can trade completed semantic networks and ask their partner questions about the network they created (e.g. Students can simulate an AI-user interaction using their semantic networks. An example semantic network built using the cards is shown below. Use glue and paper to make your own network to teach an AI agent. Blank arrows and squares can be used to write-in custom relationships and concepts. The square cards represent objects or ideas. Natural language processing: “is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages” Ĭut out the Semantic Network card deck and have students use the cards to build their own semantic network.Knowledge-based artificial intelligence: a “computer program that reasons and uses a knowledge base to solve complex problems”.It is generally shown as a graph where concepts/ideas are “nodes” and relationships are “edges” or arrows Semantic network: a knowledge representation that represents relationships between concepts and ideas in the form of a network.Knowledge representation: a structure or symbol that a computer uses to store and organize information about the world.Below is an example image of a semantic network. For example, a network might tell a computer the relationship between different animals (a cat IS A mammal, a cat HAS whiskers). Semantic networks are a way of representing relationships between objects and ideas. One of the ways they do this is by using semantic networks. AI agents have to store and organize information in their memory.

Semantic network maxqda