astronomy

Munindar P. Singh

Munindar P. Singh 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 Munindar P. Singh rather than just read about it. In short: Munindar P. Singh is a SAS institute distinguished professor and a full professor in the Department of Computer Science at North Carolina State University.

Key takeaways

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

Reference excerpt

Munindar P. Singh is a SAS institute distinguished professor and a full professor in the Department of Computer Science at North Carolina State University. Singh is an IEEE Fellow, a AAAI Fellow, a AAAS Fellow, an ACM Fellow, a Member of Academia Europaea, and a ACM SIGAI Autonomous Agents Research Award recipient.

Education Singh received his B.Tech. in computer science & engineering from the Indian Institute of Technology Delhi in 1986. He obtained a Ph.D. in computer science from the University of Texas at Austin in 1993 under the supervision of E. Allen Emerson and Nicholas M. Asher.

Research Singh's research interests include multiagent systems, service-oriented computing, software engineering, artificial intelligence, and social networks. He has made several important contributions to the understanding of interaction and norms in multiagent systems. He introduced to artificial intelligence the distinction between social commitment (a norm) and psychological commitment (a mental attitude). Singh also introduced the idea that interaction among autonomous social principals (e.g., between two or more organizations) must have a social semantics. This idea has proved to be highly influential within multiagent systems research. In recognition of Singh's contribution, the paper in which he introduced this idea was awarded the IFAAMAS 2016 Influential Paper Award. Taking this line of thinking further, Singh, in joint work with his Ph.D. student pInar Yolum, introduced the abstraction of commitment protocols. Singh has also made important contributions to social networks, trust, and distributed computing. His Blindingly Simple Protocol Language (BSPL) introduces the idea that message ordering in interaction protocols fall out automatically from information flow requirements. Therefore, one need not model specify control flow at all in interaction protocols.

References

External links Munindar P. Singh's home page Multiagent Systems and Service-Oriented Computing Laboratory

Worked examples

Example 1 — a first encounter with Munindar P. Singh

Start with the simplest possible case. Write down what Munindar P. Singh 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 Munindar P. Singh 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 Munindar P. Singh 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 Munindar P. Singh

In research: Munindar P. Singh 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 Munindar P. Singh 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: Munindar P. Singh is common in secondary-school and first-year university syllabi. It links to neighbouring topics Artificial intelligence researchers, Fellows of the Association for the Advancement of Artificial Intelligence, Fellows of the IEEE, so understanding it makes those chapters shorter.
In everyday life: Look for Munindar P. Singh 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 Munindar P. Singh in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Munindar P. Singh 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 Munindar P. Singh out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Munindar P. Singh in simple terms?

Munindar P. Singh is a SAS institute distinguished professor and a full professor in the Department of Computer Science at North Carolina State University.

Why does Munindar P. Singh 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 Munindar P. Singh?

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 Munindar P. Singh.