Main.ConnectionismAndLOT History
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- Micro-feature representations
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- Micro-feature representations
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- ConnectionismFodorPylyshyn
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- [Required] Garson, James. Connectionism. The Stanford Encyclopedia of Philosophy. stanford:connectionism.
- [Recommended] Gary F. Marcus (2001). The Algebraic Mind : Integrating Connectionism and Cognitive Science MIT Press. isbn:0262133792
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- Garson, James. Connectionism. The Stanford Encyclopedia of Philosophy. stanford:connectionism.
- Gary F. Marcus (2001). The Algebraic Mind : Integrating Connectionism and Cognitive Science MIT Press. isbn:0262133792
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Fodor and Pylyshyn
- ConnectionismFodorPylyshyn
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- Localist representation - one node for one meaning. Cannot deal with productivity.
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- Localist representation - one node for one meaning. Can it deal with systematicity and productivity?
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- van Gelder, T. J. (1999). Distributed versus local representation. In R. Wilson & F. Keil (Eds.) The MIT Encyclopedia of Cognitive Sciences. Cambridge MA: MIT Press, 236-8.
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Compare: "Where do zipped files come from?", "How can you change one file in a zip archive without changing others?"
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Compare: "Where do zip files come from?", "How can you change one file in a zip archive without changing others?"
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Terminology
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- Structured, distributed representations can implement compositional representations.
van der Veldea & de Kamp. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences||
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- Structured, distributed representations can implement compositional representations.
van der Veldea & de Kamp. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences
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| * Structured, distributed representations can implement compositional representations.
van der Veldea & de Kamp. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences |
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- Structured, distributed representations can implement compositional representations.
van der Veldea & de Kamp. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences||
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- Structured, distributed representations can implement compositional representations.
van der Veldea & de Kamp. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences
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| * Structured, distributed representations can implement compositional representations.
van der Veldea & de Kamp. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences |
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van der Veldea & de Kamp. Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences
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- Structured, distributed representations can implement compositional representations - example
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- Structured, distributed representations can implement compositional representations.
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- Objection #2: Where do distributed representations come from? (e.g. RAAM)
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- Objection #2: Where do distributed representations come from? (e.g. RSG model, RAAM)
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Distributed memory in Ramsey, W., Stich, S. P., & Garon, J. (1991).
- network architecture
- representations
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Distributed memory in Ramsey, W., Stich, S. P., & Garon, J. (1991).
network architecture
Input representations
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- Distributed representations are powerful and useful. But can they explain cognition without LOT?
- Objection #1: Unstructured distributed representations cannot explain systematicity.
- See Chalmers (1990) for a reply.
- Objection #2: Where do distributed representations come from? (e.g. RAAM)
- "Where do zipped files come from?"
- Objection #3: LOT needed to explain free transformation in central cognitive processes (e.g. conscious thoughts).
- "How can you change one file in a zip archive without changing others?"
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Distributed representations are powerful and useful. But can they explain cognition without LOT?
- Objection #1: Unstructured distributed representations cannot explain systematicity.
- See Chalmers (1990) for a reply.
- Objection #2: Where do distributed representations come from? (e.g. RAAM)
- Objection #3: LOT needed to explain free transformation in central cognitive processes (e.g. conscious thoughts).
Compare: "Where do zipped files come from?", "How can you change one file in a zip archive without changing others?"
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- "Where do zipped files come from?"
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- An analogy with zip files.
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- "How can you change one file in a zip archive without changing others?"
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Re scenario #3
- Connectionists opt for networks that employ unstructured, distributed representations.
- These representations are not compositional, and hence not classical. The key issue is whether networks with such representations can explain systematicity and productivity.
- Some such networks are systematic and productive to a limited extent. But can they still perform satisfactorily when they are scaled up?
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- See Chalmers (1990) for a reply.
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- Is this an example of LOT?
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Category.Mind
An alternative to LOT?
Single-route vs dual-route theories. Past-tense network in Rumelhart and McClelland (1986).
Pinker : two mechanisms - one for regular verbs ("talk") and one for irregulars ("go").
Plunkett, Rumelhart, ... : just one single network for both verb classes.
- Recall the three levels : the task level which describes what the system can do, the computational level which describes the representations and computations used, the hardware level which is about how the computations are realized and constructed.
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- Objection #2: Where do distributed representations come from?
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- Objection #2: Where do distributed representations come from? (e.g. RAAM)
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- [Recommended] Gary F. Marcus (2001). 'The Algebraic Mind : Integrating Connectionism and Cognitive Science' MIT Press. isbn:0262133792
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- [Recommended] Gary F. Marcus (2001). The Algebraic Mind : Integrating Connectionism and Cognitive Science MIT Press. isbn:0262133792