Symbol Systems

8 important questions on Symbol Systems

The Physical Symbol System Hypothesis - Newell & Simon (1976)

"A physical symbol system has the necessary and sufficient means for general intelligent action"

- > Nothing can be intelligent unless it is an instance of a physical symbol system (PSS), so being a PSS is also a necessary condition for "general intelligent behavior".

Semantically transparent systems - Clark (1989)

Systems whose computational operations are defined over familiar symbolic elements

(chess-playing program uses procedures applied to symbols for rook, king etc and a sentence parser uses symbols for verbs, noun, etc. These kind of symbols reflect our own ideas about the task domain -> familiar symbolic elements)

-> advantage: make immediately ibvious why the physical device is able to respect specific semantic regularities

3 key commitments in PSS-inspired AI:

1. Use of a symbolic code as a means of storing all of the system's long-term knowledge
2. Depiction of intelligence as the ability to to successfully search a symbolic problem space
3. Intelligence resides at, or close to, the level of deliberate thought
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Chinese room - Searle (1980)

- If the agent follows the rules, then the output will indeed be a sensible response in Chinese
- The agent is "taking care of the syntax" and just as Haugeland said, the semantics is taking care of itself
- The Chinese isn't actually understood, the agent is just doing syntatic matching
- Real understanding depends on more than just getting the formal operations right
- Real understanding requires certain actual (largely unknown) physical properties in a biological brain. Stuff counts. Symbol maipulation alone is not enough

Functionalism vs. Microfunctionalism (Clark)

Functionalism: Mental states are defined by their high-level functional role (inputs → processing → outputs). Low-level details like timing, chemistry, or wiring don’t matter if the overall function is the same. Supports broad multiple realizability: many physical systems can share the same mental states.


Microfunctionalism: Some mental states require a fine-grained (micro) functional match, including low-level features like neural timing, chemistry, and internal state transitions. Limits multiple realizability: only systems with matching micro-level organization can share those states.

Multiply realizable – hardware vs. software (Clark)

Several different hardware and software organizations can support the same mental states.
  • Hardware realizability: Same functional structure can be built from different physical materials — focus on structure, not stuff.
  • Software realizability: Same mental state can be produced by different computational organizations, possibly running on different hardware.

Various memory systems - Norman (1992)

- SOAR studies the cognitive band, because psychological functions are assumed to be independent of hardware implementation -. Very doubtful
- This way they ignore the implementation methods of the neural band, without consideration os the physical body in which the organism is embedded and without non-cognitive aspects of behavior
- Human memory seems to involve multiple psychologically and neurophysiologically distint systems
- Studies of amnesiacs show more damage in episodic memory than semnatic memory
- There are real and psychologically significant differences between varius memory systems

Partial representations - Arbib (1994)

  • Arbib proposed partial representations in neuroscience.
  • Emphasizes intermediate steps in processing.
  • Suggests gradual transitions between inputs and outputs.
  • Highlights importance of context in interpretation.
  • Relevant in cognitive models and robotics.


-> no single, central, logical representation of the world need link perception and action-the representation of the world is the pattern of relationships between all its partial representations

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