Zusammenfassung der Ressource
Knowledge representation
- Human brain - Long-term
memory analogy
- Declarative Memory
- Associated with knowing
"what things are" i.e.,
facts
- Procedural Memory
- Associated with
knowing "how to
do things" i.e.,
Methods
- Implicit Knowledge
- Neural networks
- Used in powerful
pattern matchers
- Agent trains and learns in
new situations
- Sensitive to training set
- Implicit formation of knowledge by activation
- Behavioural based
- Rodney Brooks
- Post-experience planning
- Emergent behaviour
- Simple agents produce a
non-explicitly programmed
complex behaviour
- Analogies
- Birds swarming
- Ants co-operating
- Chunking
- Problem decomposition
- Solve & cache solutions to sub-problems
- Combine cached solutions
forming one solution
- Explicit Knowledge
- GOFAI
- Knowledge of World
- Observed,
acquired,
interrogated &
revealed
- Engineered,
reasoned, used
& deducted
- Hierarchical
planning
- Meta-level:
scheduling,
planning,
ordering
- Lacks &
constraints
- Reactive planning
& problem solving
- Environmental
needs
- Maximum
observability
- All aspects relevant to
choice of action
observable
- Deterministic
environment
- Saves worrying
about uncertainty
- Static
environment
- Environment doesn't
change whilst agent
delibrates
- Adaptability
- Facts & Rules
- Data Structures
- Semantic nets
- Symbolic representation
of relationships between
concepts
- Frames
- Hierarchical structure
- Classes, sub-classes
- Instances (e.g., name)
- Slot:fillers(i.e.,
description of
attributes)