quiz23
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Jen Looper
parent
618b753507
commit
73074172d4
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@ -5,5 +5,6 @@ import x4 from "./lesson-4.json";
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import x5 from "./lesson-5.json";
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import x7 from "./lesson-7.json";
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import x8 from "./lesson-8.json";
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const quiz = { 0 : x1[0], 1 : x2[0], 2 : x3[0], 3 : x4[0], 4 : x5[0], 5 : x7[0], 6 : x8[0] };
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import x23 from "./lesson-23.json";
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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] };
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export default quiz;
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@ -0,0 +1,119 @@
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[
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{
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"title": "AI for Beginners: Quizzes",
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"complete": "Congratulations, you completed the quiz!",
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"error": "Sorry, try again",
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"quizzes": [
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{
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"id": 123,
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"title": "Multi-Agent Modeling: Pre Quiz",
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"quiz": [
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{
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"questionText": "By modeling the behavior of simple agents, we can understand more complex behaviors of a system.",
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"answerOptions": [
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{
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"answerText": "true",
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"isCorrect": true
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},
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{
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"answerText": "false",
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"isCorrect": false
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}
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]
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},
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{
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"questionText": "The principle of metasystem transition is derived from:",
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"answerOptions": [
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{
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"answerText": "Evolutionary Cybernetics",
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"isCorrect": false
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},
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{
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"answerText": "Emergentism",
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"isCorrect": false
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},
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{
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"answerText": "both of these",
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"isCorrect": true
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}
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]
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},
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{
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"questionText": "Multi-Agent systems emerged in the ____:",
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"answerOptions": [
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{
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"answerText": "1970s",
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"isCorrect": false
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},
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{
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"answerText": "1980s",
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"isCorrect": false
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},
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{
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"answerText": "1990s",
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"isCorrect": true
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}
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]
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}
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]
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},
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{
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"id": 223,
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"title": "Multi-Agent Modeling: Post Quiz",
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"quiz": [
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{
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"questionText": "An agent is:",
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"answerOptions": [
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{
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"answerText": "an entity that lives alone",
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"isCorrect": false
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},
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{
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"answerText": "an entity that lives in an environment",
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"isCorrect": true
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},
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{
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"answerText": "an entity that is intelligent",
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"isCorrect": false
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}
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]
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},
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{
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"questionText": "Reactive agents usually have:",
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"answerOptions": [
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{
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"answerText": "simple request-response behavior",
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"isCorrect": true
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},
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{
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"answerText": "complex behavior",
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"isCorrect": false
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},
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{
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"answerText": "no behavior",
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"isCorrect": false
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}
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]
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},
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{
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"questionText": "Multi-agent systems are used in:",
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"answerOptions": [
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{
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"answerText": "video production and systems modeling",
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"isCorrect": false
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},
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{
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"answerText": "games and automations",
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"isCorrect": false
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},
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{
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"answerText": "both the above",
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"isCorrect": true
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}
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]
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}
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]
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}
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]
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}
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]
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@ -183,4 +183,31 @@ Lesson 8E Pre-trained Networks and Transfer Learning: Post Quiz
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* Batch normalization is to bring values that flow through the ____ to right interval
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- algorithms
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- batches
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+ neural network
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+ neural network
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Lesson 23B Multi-Agent Modeling: Pre Quiz
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* By modeling the behavior of simple agents, we can understand more complex behaviors of a system.
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+ true
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- false
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* The principle of metasystem transition is derived from:
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- Evolutionary Cybernetics
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- Emergentism
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+ both of these
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* Multi-Agent systems emerged in the ____:
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- 1970s
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- 1980s
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+ 1990s
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Lesson 23E Multi-Agent Modeling: Post Quiz
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* An agent is:
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- an entity that lives alone
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+ an entity that lives in an environment
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- an entity that is intelligent
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* Reactive agents usually have:
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+ simple request-response behavior
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- complex behavior
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- no behavior
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* Multi-agent systems are used in:
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- video production and systems modeling
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- games and automations
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+ both the above
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@ -2,7 +2,7 @@
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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*).
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## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/123)
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## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/123)
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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.
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