astronomy

Takayuki Ito

Takayuki Ito 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 Takayuki Ito rather than just read about it. In short: Takayuki Ito (伊藤孝行, Takayuki Ito; born May 1, 1972) is a Japanese computer scientist who specialized in the fields of artificial intelligence and multi-agent systems. He worked as assistant professor in the computer science department of Japan Advanced Institute of Science and Technology from 2001 until 2003, served as associate professor in the computer science department of Nagoya Institute of Technology (2006–20…

Key takeaways

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

Reference excerpt

Takayuki Ito (伊藤孝行, Takayuki Ito; born May 1, 1972) is a Japanese computer scientist who specialized in the fields of artificial intelligence and multi-agent systems. He worked as assistant professor in the computer science department of Japan Advanced Institute of Science and Technology from 2001 until 2003, served as associate professor in the computer science department of Nagoya Institute of Technology (2006–2014), worked as full professor in the computer science department of Nagoya Institute of Technology (2014–2020). He also served as chair of the department (2016–2018)and also director the NITech Artificial Intelligence Research Center at Nagoya Institute of Technology. From October 2020, he is working as full Professor of Computer Science at Department of Social Informatics, Kyoto University; he is also working as Chief Technology Officer at AgreeBit Inc., Japan.

Education Takayuki Ito gained his Bachelor of Engineering (1995) and Master of Engineering (1997) and Doctor of Engineering (2000) in computer science from Nagoya Institute of Technology.

Career and previous positions From 1999 to 2001, he was a research fellow of the Japan Society for the Promotion of Science (JSPS). From 2000 to 2001, he was a visiting researcher at University of Southern California/Information Sciences Institute). From April 2001 to March 2003, he was an associate professor of Japan Advanced Institute of Science and Technology (JAIST). From April 2004 to March 2013, he was an associate professor of Nagoya Institute of Technology. From April 2014 to September 2020, he was a professor of Nagoya Institute of Technology. From 2005 to 2006, he was a visiting researcher at Division of Engineering and Applied Science, Harvard University and a visiting researcher at the Center for Coordination Science, MIT Sloan School of Management. From 2008 to 2010, he was a visiting researcher at the Center for Collective Intelligence, MIT Sloan School of Management. From 2017 to 2018, he was an invited researcher of Artificial Intelligence Center of AIST, JAPAN. From March 5, 2019, he is the CTO of AgreeBit, inc. as an entrepreneur. From October 2020, he is a professor of Kyoto University.

Fellowships and awards Ito is a board member of IFAAMAS, Executive Committee Member of IEEE Computer Society Technical Committee on Intelligent Informatics, the PC-chair of AAMAS2013, PRIMA2009, General-Chair of PRIMA2014, and was a SPC/PC member in many top-level conferences (IJCAI, AAMAS, ECAI, AAAI, etc.). He received the JSPS Prize, 2014, the Prize for Science and Technology (Research Category), The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2013, the Young Scientists' Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2007, the Nagao Special Research Award of the Information Processing Society of Japan, 2007, the Best Paper Award of AAMAS2006, the 2005 Best Paper Award from Japan Society for Software Science and Technology, the Best Paper Award in the 66th annual conference of 66th Information Processing Society of Japan, and the Super Creator Award of 2004 IPA Exploratory Software Creation Projects. He is Principal Investigator of the Japan Cabinet Funding Program for Next Generation World-Leading Researchers (NEXT Program). Further, he has several companies, which are handling web-based systems and enterprise distributed systems. His main research interests include multi-agent systems, intelligent agents, group decision support systems, agent-mediated electronic commerce, and software engineering on offshoring.

Research Ito's work focuses on advancing AI and multiagent systems for social good, with a track record of building pioneering Conversational AI systems for social impact such as Collagree, and D-Agree. His research focuses on fundamental problems in computational game theory, machine learning, automated and intelligent agents, and multi-agent interactions that are driven by these topics, ensuring a virtuous cycle of research and real-world applications. His main research interests include Multi-Agent Systems, Group Decision Support Systems, Collective Intelligence, Crowd Intelligence, Consensus, Automated Negotiation, Computational Mechanism Design, Game Theory, Auction Theory, Intelligent Agents, Distributed Artificial Intelligence, Agent-mediated Electronic Commerce, Information Economics, and Reasoning under Uncertainty. He is a lead principal investigator of CREST project. Ito and his team also provided the first large scale discussion support system based on agent support, which deployed in many countries such as Japan, Indonesia, and Afghanistan. His recent Research Question is: "Why can people make agreements and consensus?" and "What is consensus?"

References

Illustrations

Worked examples

Example 1 — a first encounter with Takayuki Ito

Start with the simplest possible case. Write down what Takayuki Ito 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 Takayuki Ito 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 Takayuki Ito 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 Takayuki Ito

In research: Takayuki Ito 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 Takayuki Ito 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: Takayuki Ito is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1972 births, Academic staff of Kyoto University, Artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life: Look for Takayuki Ito 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 Takayuki Ito in 20 minutes

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

Frequently asked questions

What is Takayuki Ito in simple terms?

Why does Takayuki Ito 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 Takayuki Ito?

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 Takayuki Ito.