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WGU D429 – Key Terms – Comprehensive Study Guide and Course Vocabulary Review

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This document contains key terms and essential definitions covering the core concepts of WGU D429. It is designed to help students master important course vocabulary, reinforce foundational concepts, and improve retention through organized terminology review. The material serves as a practical study resource for quizzes, objective assessments, and final exam preparation by highlighting the most frequently tested concepts and definitions.

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WGU D429 - Key Terms
WGU D429 - Key Terms
Study online at https://quizlet.com/_gg5ra6

1. artificial intelli- machine-driven, human-like intelligence and problem-solving systems
gence (AI)

2. intelligence the ability to understand, apply knowledge, and solve complex problems

3. rationality the ability to make sound decisions

4. Turing test a thought experiment that decides a computer's ability to respond as a human

5. natural language a computer's ability to communicate in human language
processing

6. knowledge rep- the ability to store information
resentation

7. automated rea- the computer's ability to answer questions and draw new conclusions
soning

8. machine learn- the field of study that gives computers the ability to learn from data without being
ing (ML) explicitly programmed

9. total Turing test evaluates a machine's intelligence by assessing its ability to not only communicate
in natural language but also perceive and interact with the physical world and
become indistinguishable from a human

10. computer vision a field of computer science that focuses on enabling computers to find and
understand objects and people in images and videos

11. robotics the ability to manipulate and move objects

12. dualism posits the existence of two distinct and independent realities

13. empiricism emphasizes knowledge acquisition through sensory experiences and observa-
tions



, WGU D429 - Key Terms
WGU D429 - Key Terms
Study online at https://quizlet.com/_gg5ra6

14. induction involves drawing general conclusions from specific observations

15. AI observation a statement generated by an AI system based on its analysis of data, reflecting the
sentence AI's interpretation of observed patterns or trends

16. legal positivism a theory of laws where rules are created by humans and valid based on legitimate
authority

17. neural networks computational models inspired by the human brain, consisting of interconnected
layers of nodes that process and learn from data to recognize patterns and make
predictions

18. ethical artificial considers that the study and use of AI technologies should follow ethical rules to
intelligence ensure fairness, transparency, and accountability

19. agent anything that can be viewed as perceiving its environment through sensors

20. environment the part that affects what an agent perceives

21. actuators a device that causes motion (robotic movement)

22. percept the content of an agent's sensors

23. percept se- the history of everything an agent has perceived
quence

24. agent function maps percept sequence to actions

25. task environ- specific setting or context in which an AI agent operates and performs its desig-
ment nated tasks

26. PEAS performance, environment, actuators, sensors

27. software agent a computer program that acts for another user or program in a relationship with
an agent


, WGU D429 - Key Terms
WGU D429 - Key Terms
Study online at https://quizlet.com/_gg5ra6

28. softbot a program that issues commands within a software environment and interprets
feedback

29. fully observable occurs when sensors detect all aspects that are relevant to the choice of an action

30. partially observ- occurs when parts of a state are missing from sensor data
able

31. unobservable when an agent has no sensors

32. single agent one agent performing a task

33. multiagent when two or more agents perform a task together

34. competitive maximizes agent performance measures by avoiding the pitfalls of predictability

35. cooperative allows single-space occupancy

36. deterministic when the state of an environment is completely decided by the current state and
action executed by an agent

37. nondeterministic when certain behaviors are unpredictable or unexpected

38. stochastic when the model of an environment explicitly deals with probabilities

39. episodic a process where agents do not think ahead but base decisions on current issues

40. sequential a concept where decisions affect future decisions

41. static environ- an environment that remains unchanged while an agent is deliberating or acting
ment

42. dynamic environ- environments that consistently question agents to make decisions and do nothing
ment until agents make decisions

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