andy
b24f551589
Affected files: .obsidian/backlink.json .obsidian/graph.json .obsidian/workspace-mobile.json .obsidian/workspace.json Events/🪣🪣🪣.md Health/ADHD.md STEM/AI/Classification/Gradient Boosting Machine.md STEM/AI/Neural Networks/CV/Visual Search/Visual Search.md STEM/AI/Neural Networks/Learning/Tasks.md STEM/AI/Pattern Matching/Dynamic Time Warping.md STEM/AI/Problem Solving.md STEM/CS/Regex.md STEM/img/dtw-graph-unit.png STEM/img/dtw-graph.png STEM/img/dtw-gross-partitioning.png STEM/img/dtw-heatmap-distortion.png STEM/img/dtw-heatmap.png STEM/img/dtw-possible-movements.png STEM/img/dtw-score-pruning.png STEM/img/nn-tasks-function-approx-inverse.png STEM/img/nn-tasks-function-approx.png STEM/img/nn-tasks-pattern.png STEM/img/problem-solving-arch.png STEM/img/problem-solving-goal-based.png STEM/img/problem-solving-reflex.png STEM/img/visual-search-arch.png STEM/img/visual-search-crude.png
57 lines
1.4 KiB
Markdown
57 lines
1.4 KiB
Markdown
# Problem Types
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- Toy/game problems
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- Illustrative
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- Real world problems
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- Exact solutions
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# Intelligent Agents
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*Any thing which can be viewed as perceiving its environment through sensors and acting upon that environment through its affectors*
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## Reflex
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## Goal Based
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## Utility-based
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# Environments
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- (in)accessible
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- (non)-deterministic
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- (non)-episodic
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- Static/dynamic
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- Discrete/continuous
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# Solving
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1. Precise problem definition
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- Start conditions and goal state
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2. Problem analysis
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- Appropriate representation
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- Problem characteristics
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- Knowledge intensive
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- Decomposability
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3. Choice of best technique
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# Moves
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- Ignorable
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- Simple control structure
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- Recoverable
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- Backtrack using control stack
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- Irrecoverable
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- Much effort needed for each decision/move
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- Control
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- Cause movement
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- Be systematic
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- Be guided by heuristics
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# Predictability
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## 8 Puzzle
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- Can plan ahead with certainty — only need a
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control structure with backtracking
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- recoverable, certain outcome
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## Chess
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- Future moves are not predictable with certainty.
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- May need to consider several possibilities, and decide best option based on Incomplete information
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- irrecoverable — once a piece is taken cannot in general recover from this state.
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- deciding on an optimal move can be difficult
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- try to predict opponent's move |