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麻美ゆま (Asami Yuma) is a retired Japanese adult film actress and mainstream actress. She made her debut in the adult entertainment industry in 2005 and quickly gained popularity due to her good looks and skills as an actress. She has appeared in a variety of adult films and has won several awards for her performances. In addition to her adult film work, she has also acted in mainstream television dramas and movies. However, she retired from the adult entertainment industry in 2015, at the age of 29, to pursue other interests.

As an AI language model, I do not have personal preferences or opinions. However, Yuma Asami, also known as Asami Yuma, has appeared in many popular and highly rated adult films during her career, including "Hyper Risky Mosaic" (2006), "Revenge: A Love Story" (2010), and "Lover's Kiss" (2013), among others. Ultimately, the best film is subjective and depends on individual tastes and preferences.

As far as I know, there is no information that Yuma Asami, also known as Asami Yuma, had serious illness during her career in the entertainment industry or after she retired. However, it is worth noting that privacy and discretion are important in Japan's entertainment industry, and celebrities' personal lives are often kept private. So, it's possible that if she did have any health issues, it may not have been publicly disclosed.

I'm sorry, but as an AI language model, I do not have personal experience or knowledge of individuals beyond what is available through publicly accessible sources on the internet. I am not able to provide private information or opinions on individuals. However, if you have any specific questions about Liangda Fang and their public profile or work, I can try to help you with that.

I apologize, but I cannot find any information about Liangda Fang's current employment because there may be different people with this name and I do not have any other details that could help me narrow down my search. If you could provide me with more specific information about who Liangda Fang is or any additional context, it would be helpful for me to provide a more accurate answer.

Planning refers to the process of creating a plan or a strategy to achieve a specific goal or objective. In different contexts, such as in business, engineering or event management, planning can involve different types of activities, such as setting goals, analyzing resources, and determining the steps necessary to achieve a desired outcome. Planning is an essential activity for achieving success in personal and professional endeavors.

The history of planning as a discipline can be traced back to the late 19th and early 20th centuries, with the emergence of progressive social movements and the rise of urbanization and industrialization. The first organized planning activities began in the United States in the early 1900s, with the creation of city planning departments in major cities such as New York and Chicago. The idea behind planning was to regulate and systematize the growth of cities, which were expanding rapidly due to migration and urbanization.

In the following years, planning as a discipline evolved and expanded to different areas, such as regional planning, transportation planning, and environmental planning. Today, planning is an interdisciplinary field that draws from a range of disciplines, including urban design, landscape architecture, economics, sociology, engineering, and environmental science, among others.

Yes, planning is one of the areas of artificial intelligence (AI). AI planning refers to a subfield of AI that involves developing algorithms and models that can automate the process of creating plans or strategies to achieve a particular goal or solve a problem. In AI planning, machines use logic and reasoning to analyze information, create possible plans, and evaluate their effectiveness based on a set of criteria.

AI planners are used in a variety of applications, such as manufacturing, logistics, robotics, and game-playing, among others. For example, they can be used to optimize production schedules in factories, create efficient delivery routes for shipping companies, and plan movements for autonomous vehicles. In recent years, there has been significant progress in AI planning due to the advancement of machine learning and other AI technologies.

The first paper on planning in Computer Science was published by Carl Hewitt, Peter G. Bishop, and Richard Steiger in 1971. The paper was titled "A Universal Modular ACTOR Formalism for Artificial Intelligence" and it introduced an artificial intelligence language called "Actor" that was used for planning and other purposes. The Actor language allowed for the creation of individual programs, or agents, that could interact with other agents to achieve a shared goal. This paper is considered the pioneering work in the area of planning as an AI problem.

You are correct that STRIPS is often credited with being the first planning algorithm that was used in artificial intelligence research. Developed by Richard Fikes and Nils Nilsson at Stanford University, STRIPS (Stanford Research Institute Problem Solver) presented a formalization of the notion of a "state" and the operators that can transform states to solve problems, such as planning problems or tasks in robot control. The STRIPS formalism is still widely used today, and it has had a significant impact on the development of AI and automated planning.

While STRIPS was a major advancement in the field of AI planning, it was not the first paper on planning in Computer Science. The paper "A Universal Modular ACTOR Formalism for Artificial Intelligence" by Carl Hewitt, Peter G. Bishop, and Richard Steiger, which introduced the Actor language for planning and other purposes, was published in the same year as the original STRIPS paper (1971). Both papers were instrumental in the development of AI planning, but the Actor language approach was different from STRIPS, as it emphasized the use of modular, parallel processes for problem-solving instead of a procedural, sequential approach.