--- title: "Knowledge vs learning, acting humanly" subject: "Artificial Intelligence" chapter: 1 key: "semester_6/artificial_intelligence:knowledge-vs-learning-acting-humanly" source: https://www.bctengineer.com/q/semester_6/artificial_intelligence/knowledge-vs-learning-acting-humanly site: BCT Engineering --- # Knowledge vs learning, acting humanly Artificial Intelligence · Chapter 1: Introduction - Asked in: 2071 Magh, 2+5+1 marks - Video: [Artificial Intelligence : Acting Humanly & Rationally ll Thinking Humanly & Rationally (HINDI)](https://www.youtube.com/watch?v=aStninMO6E8) — 5 Minutes Engineering - Answer checked by Claude Opus 5.5 (high effort) on 2026-10-14 - Page: https://www.bctengineer.com/q/semester_6/artificial_intelligence/knowledge-vs-learning-acting-humanly - Whole chapter: https://www.bctengineer.com/md/semester_6/artificial_intelligence/chapter-1 ## Question Distinguish between knowledge and learning. What does acting humanly refer to? Explain. Define well defined problems. ## Short answer Knowledge is organized information, facts, and rules a system has for reasoning; learning is the process of acquiring new knowledge or improving performance from experience. Acting humanly means machine behavior indistinguishable from a human, tested by the Turing Test, requiring NLP, knowledge representation, reasoning, learning, and for Total Turing Test, vision and robotics. A well-defined problem has a clear initial state, operators/actions, goal test, and path cost (e.g., 8-puzzle, route finding). ## Answer #### Knowledge vs learning **Knowledge** is the organised information, facts, rules and relationships that a system already has about a domain and can use for reasoning. **Learning** is the *process* of acquiring new knowledge or improving performance from experience, data or instruction. | Basis | Knowledge | Learning | |---|---|---| | Nature | A stored result (what is known) | A process (how it becomes known) | | Role | Used to solve problems and reason | Used to create or improve knowledge | | Time | Static at a given moment | Continuous, changes with experience | | Example | Rule: "IF fever AND cough THEN flu" | A spam filter improving by seeing more emails | | Representation | Logic, rules, frames, semantic nets | Training of a model (neural net, decision tree) | #### Acting humanly Acting humanly is the AI approach in which a machine's *behaviour* must be indistinguishable from a human's. It is tested by the **Turing Test**: if a human interrogator cannot tell whether written responses come from a person or a computer, the computer acts humanly. To act humanly, a computer needs: 1. **Natural language processing:** to communicate in a human language. 2. **Knowledge representation:** to store what it knows and hears. 3. **Automated reasoning:** to use the stored knowledge to answer questions and draw new conclusions. 4. **Machine learning:** to adapt to new circumstances and detect patterns. 5. For the *Total Turing Test*: **computer vision** (to perceive objects) and **robotics** (to manipulate objects and move). Examples: chatbots, Siri/Alexa and humanoid robots like Sophia. #### Well-defined problem A problem is *well defined* when it has a clear **initial state**, a set of **operators/actions** (successor function), a **goal test**, and a **path cost**. Example: 8-puzzle, water jug, route finding. ## Check yourself The answer's key points as multiple-choice questions, with the correct option and why. 1. What is the key difference between knowledge and learning? A. Knowledge is a process; learning is a stored result B. They are identical C. Knowledge is a stored result; learning is the process of acquiring or improving it D. Learning is static; knowledge is continuous Answer: C. Knowledge is what is known; learning is how it becomes known or improves from experience. (Key point: Knowledge vs learning) 2. How is 'acting humanly' tested? A. By a logic proof B. By measuring speed C. By brain imaging D. By the Turing Test Answer: D. A computer acts humanly if an interrogator cannot tell its written responses from a person's. (Key point: Acting humanly) 3. What does the Total Turing Test add to NLP, knowledge representation, reasoning and learning? A. Computer vision and robotics B. Databases and networking C. Compilers D. Speech compression Answer: A. The total test adds vision to perceive objects and robotics to manipulate them. (Key point: Abilities for Total Turing Test) 4. Which set of components makes a problem well defined? A. Inputs, outputs, memory, clock B. Initial state, operators, goal test, path cost C. Variables, domains, constraints only D. Rules, facts, queries, answers Answer: B. A well-defined problem has an initial state, operators, a goal test and a path cost. (Key point: Well-defined problem) ## Related in Artificial Intelligence - [Well defined problem, state-space search](https://www.bctengineer.com/question.md?key=semester_6%2Fartificial_intelligence%3Awell-defined-problem-state-space) — Artificial Intelligence, chapter 2 - [Declarative vs procedural knowledge](https://www.bctengineer.com/question.md?key=semester_6%2Fartificial_intelligence%3Adeclarative-vs-procedural-knowledge) — Artificial Intelligence, chapter 4, asked 4× - [GA vs fuzzy based learning](https://www.bctengineer.com/question.md?key=semester_6%2Fartificial_intelligence%3Aga-vs-fuzzy-learning) — Artificial Intelligence, chapter 6 - [Analogy vs inductive learning](https://www.bctengineer.com/question.md?key=semester_6%2Fartificial_intelligence%3Aanalogy-vs-inductive-learning) — Artificial Intelligence, chapter 6 ## Related in other subjects - [Forces acting on well foundation](https://www.bctengineer.com/question.md?key=semester_5%2Ffoundation_engineering%3Awell-forces) — Foundation Engineering, chapter 9, asked 2× - [Knowledge management vs expert systems](https://www.bctengineer.com/question.md?key=semester_8%2Finformation_system%3Akm-vs-expert-systems) — Information System, chapter 4 - [Supervised vs unsupervised learning](https://www.bctengineer.com/question.md?key=semester_7%2Fdata_mining%3Asupervised-vs-unsupervised) — Data Mining, chapter 3