diff --git a/etc/quiz-app/src/assets/translations/en/index.js b/etc/quiz-app/src/assets/translations/en/index.js index f4a7ee53..666aba01 100644 --- a/etc/quiz-app/src/assets/translations/en/index.js +++ b/etc/quiz-app/src/assets/translations/en/index.js @@ -5,5 +5,6 @@ import x4 from "./lesson-4.json"; import x5 from "./lesson-5.json"; import x7 from "./lesson-7.json"; import x8 from "./lesson-8.json"; -const quiz = { 0 : x1[0], 1 : x2[0], 2 : x3[0], 3 : x4[0], 4 : x5[0], 5 : x7[0], 6 : x8[0] }; +import x23 from "./lesson-23.json"; +const quiz = { 0 : x1[0], 1 : x2[0], 2 : x3[0], 3 : x4[0], 4 : x5[0], 5 : x7[0], 6 : x8[0], 7 : x23[0] }; export default quiz; \ No newline at end of file diff --git a/etc/quiz-app/src/assets/translations/en/lesson-23.json b/etc/quiz-app/src/assets/translations/en/lesson-23.json new file mode 100644 index 00000000..f9e04ca1 --- /dev/null +++ b/etc/quiz-app/src/assets/translations/en/lesson-23.json @@ -0,0 +1,119 @@ +[ + { + "title": "AI for Beginners: Quizzes", + "complete": "Congratulations, you completed the quiz!", + "error": "Sorry, try again", + "quizzes": [ + { + "id": 123, + "title": "Multi-Agent Modeling: Pre Quiz", + "quiz": [ + { + "questionText": "By modeling the behavior of simple agents, we can understand more complex behaviors of a system.", + "answerOptions": [ + { + "answerText": "true", + "isCorrect": true + }, + { + "answerText": "false", + "isCorrect": false + } + ] + }, + { + "questionText": "The principle of metasystem transition is derived from:", + "answerOptions": [ + { + "answerText": "Evolutionary Cybernetics", + "isCorrect": false + }, + { + "answerText": "Emergentism", + "isCorrect": false + }, + { + "answerText": "both of these", + "isCorrect": true + } + ] + }, + { + "questionText": "Multi-Agent systems emerged in the ____:", + "answerOptions": [ + { + "answerText": "1970s", + "isCorrect": false + }, + { + "answerText": "1980s", + "isCorrect": false + }, + { + "answerText": "1990s", + "isCorrect": true + } + ] + } + ] + }, + { + "id": 223, + "title": "Multi-Agent Modeling: Post Quiz", + "quiz": [ + { + "questionText": "An agent is:", + "answerOptions": [ + { + "answerText": "an entity that lives alone", + "isCorrect": false + }, + { + "answerText": "an entity that lives in an environment", + "isCorrect": true + }, + { + "answerText": "an entity that is intelligent", + "isCorrect": false + } + ] + }, + { + "questionText": "Reactive agents usually have:", + "answerOptions": [ + { + "answerText": "simple request-response behavior", + "isCorrect": true + }, + { + "answerText": "complex behavior", + "isCorrect": false + }, + { + "answerText": "no behavior", + "isCorrect": false + } + ] + }, + { + "questionText": "Multi-agent systems are used in:", + "answerOptions": [ + { + "answerText": "video production and systems modeling", + "isCorrect": false + }, + { + "answerText": "games and automations", + "isCorrect": false + }, + { + "answerText": "both the above", + "isCorrect": true + } + ] + } + ] + } + ] + } +] \ No newline at end of file diff --git a/etc/quiz-src/questions-en.txt b/etc/quiz-src/questions-en.txt index c8f51dae..ae864d70 100644 --- a/etc/quiz-src/questions-en.txt +++ b/etc/quiz-src/questions-en.txt @@ -183,4 +183,31 @@ Lesson 8E Pre-trained Networks and Transfer Learning: Post Quiz * Batch normalization is to bring values that flow through the ____ to right interval - algorithms - batches -+ neural network \ No newline at end of file ++ neural network + +Lesson 23B Multi-Agent Modeling: Pre Quiz +* By modeling the behavior of simple agents, we can understand more complex behaviors of a system. ++ true +- false +* The principle of metasystem transition is derived from: +- Evolutionary Cybernetics +- Emergentism ++ both of these +* Multi-Agent systems emerged in the ____: +- 1970s +- 1980s ++ 1990s + +Lesson 23E Multi-Agent Modeling: Post Quiz +* An agent is: +- an entity that lives alone ++ an entity that lives in an environment +- an entity that is intelligent +* Reactive agents usually have: ++ simple request-response behavior +- complex behavior +- no behavior +* Multi-agent systems are used in: +- video production and systems modeling +- games and automations ++ both the above \ No newline at end of file diff --git a/lessons/6-Other/23-MultiagentSystems/README.md b/lessons/6-Other/23-MultiagentSystems/README.md index 6eb5799c..e8c8b0be 100644 --- a/lessons/6-Other/23-MultiagentSystems/README.md +++ b/lessons/6-Other/23-MultiagentSystems/README.md @@ -2,7 +2,7 @@ One of the possible ways of achieving intelligence is so-called **emergent** (or **synergetic**) approach, which is based on the fact that the combined behavior of many relatively simple agents can result in the overall more complex (or intelligent) behavior of the system as a whole. Theoretically, this is based on the principles of [Collective Intelligence](https://en.wikipedia.org/wiki/Collective_intelligence), [Emergentism](https://en.wikipedia.org/wiki/Global_brain) and [Evolutionary Cybernetics](https://en.wikipedia.org/wiki/Global_brain), which state that higher-level systems gain some sort of added value when being properly combined from lower-level systems (so-called *principle of metasystem transition*). -## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/123) +## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/123) The direction of **Multi-Agent Systems** has emerged in AI in 1990s as a response to growth of the Internet and distributed systems. On of the classical AI textbooks, [Artificial Intelligence: A Modern Approach](https://en.wikipedia.org/wiki/Artificial_Intelligence:_A_Modern_Approach), focuses on the view of classical AI from the point of view of Multi-agent systems.