astronomy

Paul Smolensky

Paul Smolensky is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Paul Smolensky rather than just read about it. In short: Paul Smolensky (born May 5, 1955) is Professor Emeritus of Cognitive Science at the Johns Hopkins University and a Senior Principal Researcher at Microsoft Research, Redmond Washington. Along with Alan Prince, in 1993 he developed Optimality Theory, a grammar formalism providing a formal theory of cross-linguistic typology (or Universal Grammar) within linguistics.

Key takeaways

Paul Smolensky belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Paul Smolensky to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Paul Smolensky from memory before moving on to harder problems.

Reference excerpt

Paul Smolensky (born May 5, 1955) is Professor Emeritus of Cognitive Science at the Johns Hopkins University and a Senior Principal Researcher at Microsoft Research, Redmond Washington. Along with Alan Prince, in 1993 he developed Optimality Theory, a grammar formalism providing a formal theory of cross-linguistic typology (or Universal Grammar) within linguistics. Optimality Theory is popularly used for phonology, the subfield to which it was originally applied, but has been extended to other areas of linguistics such as syntax and semantics. Smolensky is the recipient of the 2005 Rumelhart Prize for his development of the ICS Architecture, a model of cognition that aims to unify connectionism and symbolism, where the symbolic representations and operations are manifested as abstractions on the underlying connectionist or artificial neural networks. This architecture rests on Tensor Product Representations, compositional embeddings of symbolic structures in vector spaces. It encompasses the Harmonic Grammar framework, a connectionist-based numerical grammar formalism he developed with Géraldine Legendre and Yoshiro Miyata, which was the predecessor of Optimality Theory. The ICS Architecture builds on Harmony Theory, a formalism for artificial neural networks that introduced the restricted Boltzmann machine architecture. This work, up through the early 2000s, is presented in the two-volume book written with Géraldine Legendre, The Harmonic Mind. Subsequent work introduced Gradient Symbolic Computation, in which blends of partially-activated symbols occupy blends of positions in discrete structures such as trees or graphs. This has been successfully applied to numerous problems in theoretical linguistics where traditional discrete linguistic structures have proved inadequate, as well as incremental sentence processing in psycholinguistics. In work with colleagues at Microsoft Research and Johns Hopkins, Gradient Symbolic Computation has been embedded in neural networks using deep learning to address a range of problems in reasoning and natural language processing. Among his other important contributions is the notion of local conjunction of linguistic constraints, in which two constraints combine into a single stronger constraint that is violated only when both of its conjuncts are violated within the same specified local domain. Local conjunction has been applied to the analysis of various "super-additive" effects in Optimality Theory. With Bruce Tesar (Rutgers University), Smolensky has also contributed significantly to the study of the learnability of Optimality Theoretic grammars (in the sense of computational learning theory). Smolensky was a founding member of the Parallel Distributed Processing research group at the University of California, San Diego, and is currently a member of the Deep Learning Group at Microsoft Research, Redmond Washington.

References

External links Paul Smolensky Homepage at Johns Hopkins Paul Smolensky Homepage at Microsoft Research David E. Rumelhart Prize

Worked examples

Example 1 — a first encounter with Paul Smolensky

Start with the simplest possible case. Write down what Paul Smolensky claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Paul Smolensky before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Paul Smolensky ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Paul Smolensky

In research: Paul Smolensky appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Paul Smolensky in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Paul Smolensky is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1955 births, Fellows of the Cognitive Science Society, Harvard College alumni, so understanding it makes those chapters shorter.
In everyday life: Look for Paul Smolensky outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Paul Smolensky in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Paul Smolensky means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Paul Smolensky out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Paul Smolensky in simple terms?

Why does Paul Smolensky matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Paul Smolensky?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Paul Smolensky.