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GAAD 09 - AI Techniques for Games 69 Questions with Verified Answers,100% CORRECT
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GAAD 09 - AI Techniques for Games 69 Questions with Verified Answers
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GAAD 09 - AI Techniques for Games 69 Questions withVerified Answers
Quote - CORRECT ANSWER "Much learnings does not teach insight"
Content - CORRECT ANSWER 1. Artificial Intelligence in Digital Games
2. Behavior Control
- 2.1 Scripts
- 2.2 Finite State Machines
- 2.3 Rule-Based Fuzzy Systesm
- 2.4 Decision Trees
3. Searching & Planning Methods
- 3.1 Search Strategies
- 3.2 Uninformed Search Strategies
- 3.3 Informed & Heuristic Search Strategies
- 3.4 Further Movement Strategies
4. References
1. - CORRECT ANSWER AI in Digital Games
Kasparov vs. Deep Blue & Go - CORRECT ANSWER -> Deep Blue never understood
Chess -> Defeated Kasparov with Bruteforce
Go:
- Deep Learning -> Changed a lot how AI works
-> Now a lot of AI models for computers
AI in Digital Games
What is the goal? - CORRECT ANSWER Graphics already very advanced
-> But better gameplay through AI is still a challange
Goal: Better gameplay:
,- Challenging enemies
- interesting & diversified story
- Long term entertainment
- new game concepts
Goal-oriented realistic behavior:
- Robustness in new situations
- acquisition of novel behaviors
- adapt to the player's strategy
- personality & emotion
- social behavior
What are the requirements for AI in Games? - CORRECT ANSWER 1) -/+
Accessible:
- Environment can be perceived completely
- not all states of the environment are known
-> Important for balance of the game
2) Static/Dynamic
- Environment is changed reclusively by simulated actions
- additional unknown determining factors
3) +/- Deterministic
- Action's effects are unknown
- Action's effects are represented by probability distribution
4) Discreet/Continous:
- Finite amount of states
- States are represented by continous paramenters
Why & How Should one use AI in Games? - CORRECT ANSWER - possibility
(computing time) <- is that available?
- Necessity (unique feature)
- AI-Developer (2/10) over the total projekt time
- Requirement for AI-Engines:
- Real-Time capability: Efficient algorithms & highly optimized code
, - Anytime algorithms
- Incremental algorithms
- Modular architecture & synchronization in game-engine
- Authoring tools
- integration in modelling tools & enginges (Maya, 3ds Max, Blender)
- Cross platform SDKs (PC, XBox, PS, Mobile)
Goals of Game AI ? - CORRECT ANSWER Demand:
- Goal oriented approchan -> AI decides what to do, how to do it & realizes it
- Reactive -> the AI immediately reacts to changes in the environment & adapts
knowledge
- Knowledge -> The AI knows about its environment & its own behavior
- Characteristic -> AI represents believable, consistent characters
- Fast & easy development
- Low demands of system resources
-> All goals can't be fulfilled simulatneously (especially in real time)
What optimal playing abilities should an NPC have? - CORRECT ANSWER -> It is
always easy to create an NPC which is better than the player
But: Frustration for player
But NPS should not be too dumb
Goal of the game:
- Entertainment, no frustration
-> Enemies not too intelligent
-> NPCs not too dumb
-> Mistakes increase plasubility
-> Fairness expected
Paradox of game AI:
"Every game-AI should eventually loose...but pretty close"
What are the 11 ways to loose glamoroulsy? - CORRECT ANSWER 1. Realistic
perception for NPC (visibility constraints)
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