Wikipedia:Articles for deletion/Physical linguistics (2nd nomination)


 * The following discussion is an archived debate of the proposed deletion of the article below. Please do not modify it. Subsequent comments should be made on the appropriate discussion page (such as the article's talk page or in a deletion review).  No further edits should be made to this page.

The result was   delete all. T. Canens (talk) 20:16, 29 June 2010 (UTC)

Physical linguistics
AfDs for this article: 
 * – ( View AfD View log  •  )

Also bundled are:

No change in notability or references since 2006, but the subarticles have been recreated.

Previous nominations include those in the box, and:
 * Articles for deletion/Unicogse (Result: Delete)
 * Articles for deletion/International Journal of Computational Cognition (Result: No consensus)
 * Articles for deletion/Yang's Scientific Research Institute (Result: Delete)

The result of the boxed nominations were: No consensus with the editiorial decision being made to merge to Physical linguistics. — Arthur Rubin (talk) 18:40, 22 June 2010 (UTC)

IF it is not A THEN it is not B, where A!=B Some example of this logic is: If it is not published in popular journal, then it is not notable. If it is not an SCI paper, then it is not notable. etc.
 * Firstly, the notability measured by SCI—the so called (Stupid Chinese Index) and other indexes alike is not convinced. I don’t agree to judge things by using logic like this:

And I will respect to the following logic:

IF it is not notable (because: give your constructive evaluation of what you are talking about from your first-hand reading, investigation, etc. No second-hand impression and imagination) THEN it is not notable.

Why, take example of Grigori Perelman, who declined his Fields Medal, and who I think to be a very notable, noble and pure academic researcher, published his (VERY) notable work in arXiv, which is not a book, a journal, nor a conference proceeding!

passive observers to become active participants in the narrative events that unfold. A variety of approaches have attempted to construct such interactive narrative spaces and reconcile the goals of interactivity and dramatic story-telling. With the advent of the linguistic variable in 1972, a means was established for modelling natural language words and phrases mathematically and computationally. Over the past decade, the computational verb, first introduced in 1997, has been developed as a mathematical means of modelling natural language verbs in terms of dynamic systems, and vice versa. Computational verb theory extends the initial concept of the linguistic variable beyond being able to model adjectives, nouns, and passive states, into the realm of actions as denoted by natural language verbs. This thesis presents the framework and implementation of a system that generates interactive narrative spaces from narrative text. The concept of interactive narrative is introduced and recent developments in the area of interactive narrative are discussed. Secondly, a brief history of the development of the linguistic variable and the computational verb are provided. With the context of the computational verb (interactive) narrative generation (CVTNG) system presented, the underlying theoretical principles of the system are established. The CVTNG system principles are described in terms of fuzzy set, computational verb, and constraint satisfaction theory. The fuzzy set, computational verb, and constraint satisfaction principles are organised according to a CVTNG architecture. The CVTNG architecture is then described in terms of its subsystems, structures, algorithms, and interfaces. Each CVTNG system component is related to the overall design considerations and goals. A prototype of the CVTNG system is implemented and tested against a suite of natural language sentences. The behaviour and performance of the CVTNG system prototype are discussed in relation to the CVTNG system’s design principles. Results are calculated and stored as variable values that are dynamically and generically associated with representational means, specifically computer graphics, to illustrate the generation of interactive narrative spaces. Plans for future work are discussed to show the immense development potential of this application. The thesis concludes that the CVTNG system provides a solid and extendable base for the intuitive generation of interactive narrative spaces from narrative text, computational verb models, and freely associated media.
 * Secondly, I don’t think we should judge notability of scientific research based on superficial illusion of how popular a topic is. Many things are very important and yet, not many people know. It is especially true in many HARD scientific researches because hard problems are difficult to become popular comparing soft problems. Therefore, I don’t trust the judgment of experts, who are working in Field Z, to Field A. Unless someone comes and claims: Hi, I had read that work, and I found the mathematical formula is not right, or, it against physical laws, ect.
 * Thirdly, I don't think that the notability is not changed since 2006. I have done my first-hand researches on this topic on academic database worldwide, not just take a look at the first few pages of Google and jump into my conclusions. Independent researchers in different Universities had been published, a few example is listed as follows.
 * PHD Dissertation(2009): W.M. Chen, Study and Experiment of Real-time Control and Strategies Planning for Small-size Soccer Robot Systems, Shanghai University,(in Chinese, database entry http://www.lunwentianxia.com/product.sf.3973985.1/ ). The following is cut and paste from the abstraction from the pdf file of this dissertation(This is a proof that I had read it): “The computation verb theory iS combined with the region reconnaissance method to solve the difficulty associated with real．time image acquisition in the small—size soccer robot system．Through matching robot marks，resolving similarity，and decomposing computation verb into a‘low verb’and a‘column verb’．the real．time system computation，as well as the accuracy and stability of image information acquisition under the non．unifoITn illumination condition are greatly improved，laid a solid foundation for path planning research”.
 * Master thesis(2009): M. Smit, Interactive Narrative Generation using Computational Verb Theory, University of Pretoria/Universiteit van Pretoria, MSc, Computer Science.(in English, contact University of Pretoria for pdf version) The following is cut and paste from the abstraction from the pdf file of this dissertation(This is a proof that I had read it): "Interactive narrative extends traditional story-telling techniques by enabling previously

Keywords: computational verb theory, fuzzy sets, interactive narrative, computational linguistics, constraint satisfaction problems, fuzzy constraint satisfaction problems, computer graphics."


 * Master thesis(2010): Y. Guo, Research on Computational Verb Theory and Its Applications, Xiamen University. (in Chinese, ask for pdf from the author ). The following is cut and paste from the abstraction from the pdf file of this dissertation(This is a proof that I had read it): “Natural languages are invented by human beings for general-purpose commu- nication, moreover, are the most comprehensive, °exible and adaptive tools for modeling the physical and the cognitive world. Scientists and scholars have been striving for making them measurable for years. Computational verb theory (CVT) is a new paradigm of making natural languages measurable. As an emerging dis- cipline, CVT has been applied in well-established ¯elds such as automatic control and arti¯cial intelligence and etc. Moreover, it has been utilized by many indus- trial systems, for instance, visual °ame-detecting, intelligent tra±c system and intelligent security system. Therefore, it's worthwhile to make an intensive study of CVT. In this thesis, CVT is studied from three aspects; namely, computational verb events, computational verb neural networks and computational verb PID con- trollers, which not only promotes CVT's development by taking the advantage of existing results but also adds new dimensions to probability theory, arti¯cial neu- ral networks and the PID controllers to some extent. This thesis proposes a new method of deriving the probability of computational verb events, gives the struc- ture of type-I generalized computational verb neural network and the derivation of its learning algorithm, studies three types of the second-generation computational verb PID controllers in details. The innovations of the thesis are listed as follows. 1. For the ¯rst time, it introduces the concept of computational verb observation function, which makes the modeling of computational verb events and the measurement of probabilities more °exible and convenient; 2. The proposed computational verb neural networks are suitable for learning mul- tiple verb rules; 3. Two types of computational verb PID controllers based on trend-based compu- tational verb similarities are designed; 4. It is the ¯rst comprehensive study on the signal tracking performance of com- putational verb PID controllers.

Keywords: computational verb theory; probability; arti¯cial neural network; PID controller"


 * Master thesis(2010): W. Tang, Research and Design of Microscopic IC Photo Auto-taking System, Xiamen University. (in Chinese, ask for pdf from the author ). The following is cut and paste from the abstraction from the pdf file of this dissertation(This is a proof that I had read it): “As the development of Science Technology, chips have been playing an important role in our life and work. IC Reverse Engineering, a way to study advanced IC designing technology, has been especially concerned. Taking IC layout images under microscope and image matching ensure the success of IC Reverse Engineering. As the expansion of chip size, it is necessary to reverse automatically to improve its efficiency. Our work is to design such a system, Microscopic IC Photo Auto-taking System. It solves such problems as carema auto-focusing, motion controlling, image matching and so on, for IC Reverse Engineering. Thus, it improves its efficiency dramatically. In this paper, we firstly introduce the basic principle of auto-focusing. After analyzing the traditional auto-focusing algorithms, we put forward an optimizing operator for all auto-focusing algorithms, to meet different kinds of requirement. Secondly, we design a set of computational verb rules based on computational verb theory, and we call it verb controller. We also design a model amending algorithm for this controller. All these improve the system's working efficiency and robustness. Thirdly, we explain the principle of image matching and image fusion, and design an algorithm based on threshold to remove the mismatching-points during image matching. After these, we propose the whole design proposal for our system, and divide it into modules. Finally, we show the manual of our system, testing examples and its performance. The characteristics and innovations of the platform designed in this thesis are as follows: 1) In order to judge whether an image is clear or not, we propose an optimizing operator for all auto-focusing algorithms. This operator improves the performance of different auto-focusing algorithms obviously, without increasing the computation time. 2) Based on computational verb theory, we design a verb controller made up of a set of computational verb rules, for stepper motor to control the process of auto-focusing. It cuts down the time spent on auto-focusing dramatically. It can also enhance the system robustness. 3) According to the basic model of auto-focusing, we design a model amending algorithm for this controller. it not only makes the verb controller independent of environment, but also ensures the ability of self-learning and self-adaptive for our system. 4) According to the distribution of image matching points, we bring foward a mismatching-pionts removing algorithm based on threshold, to solve the mismatching problem of the image matching algorithms. It makes our system more accurate.

Key Words: Auto-focusing; Computational Verb; Image Matching"


 * Master thesis(2006): S. Zhu, Automatic Generation Control Based on Verb Control, Tongji University. (in Chinese, databse entry at http://67.20.95.55/view-34436-1.html). The following is cut and paste from the abstraction from the pdf file of this dissertation(This is a proof that I had read it): “Computational verb theory is a kind of computer digital control which is based on the verb set theory,the verb variant and the verb logical inference．It is a realization which is based on the knowledge，even the controlling rules described by language．The basic principal of computational verb control is similar to the fuzzy logic．According to the expert experience and the correlative knowledge，a few IF．．．．．．THEN verb rules are proposed and make up of the description of the verb relation which has uncertain complex obj ect，and the optimized control parameters are computed by the inference of the verb rules，and then the system is well controlled． Automatic Generation Control(AGC)in power system is discussed in this paper． Conventional AGC is a procedure which is aproportional integral(PI)contr01．That is to say,Area Control Error(ACE)is controlled which is followed by PI control and ACE is defined as a linear combination of system frequency error and the sum of errors of interchange of power between diferent areas or either of them．After studying the classic theory of AGC，the deficiency of conventional AGC control model is analyzed and this paper introduces V-erb control of intelligent control into PI control to formulate Vrerb PI contr01．And then it is used in the second adjustment of the AGC．The control structure of AGC is improved and the dynamics of control results become beter．

Key Words：verb control，intelligent control，PI controller,automatic generation control，area control error"


 * Master thesis(2008): L. Zhu, Research of MAS and Modeling Methods in RoboCup3D Simulation, Shanghai University. (in Chinese, databse entry at http://202.120.121.238:8002/xwlw/outline.jsp?page=49&channelid=65194). The following is cut and paste from the abstraction from the pdf file of this dissertation(This is a proof that I had read it): “...Based on Computational Verb Theory, an opponent modeling method for RoboCup has been presented. Fuzzy generalization is used to design the computational verb controller, by which the model of extent of opponent’s controlling ability can be obtained to estimate opponent on-line. Based on the above research, a RoboCup3D simulation team is designed with OOP method and this team has been validated in the competition of China RoboCup . "


 * Master thesis(2006): C. Yu, Vision System Processing of Robot Soccer, Changchun University of Science and Technology. (in Chinese, databse entry at http://www.lunwentianxia.com/product.sf.3417857.1/). The following is cut and paste from the abstraction from the pdf file of this dissertation(This is a proof that I had read it): “... key words: Global vision ... Computational verb"


 * Master thesis(2008): J. Li, Research and Application of Computational Verb PID Controller of Linear Motor, Kunming University of Science and Technology. (in Chinese, databse entry at http://www.google.com.hk/search?hl=zh-CN&newwindow=1&safe=strict&client=firefox-a&rls=org.mozilla%3Azh-CN%3Aofficial&q=%22%E8%AE%A1%E7%AE%97%E5%8A%A8%E8%AF%8DPID%E6%8E%A7%E5%88%B6%E5%99%A8%E5%9C%A8%E7%9B%B4%E7%BA%BF%E7%94%B5%E6%9C%BA%E6%8E%A7%E5%88%B6%E4%B8%AD%E7%9A%84%E5%BA%94%E7%94%A8%E7%A0%94%E7%A9%B6%22&btnG=Google+%E6%90%9C%E7%B4%A2&aq=f&aqi=&aql=&oq=&gs_rfai=). The title can tell you everything about it, I am tired of cut and paste at this point. Let me give you one more before I close this section of waste of my time.

UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA(in Chinese, download .doc file from http://202.115.24.25/tasi/papers/checked/master/10614_200792310014%B3%C2%B7%BC%E9%AA_2003.DOC ) I appologize if you don't understand Chinese, however, you just go to page 6 to read the following. "Abstract: With the deepening of institutional reform in electricity industry and fierce competition from outside uncertainties, managerial expertise and decision-making capabilities have become increasingly essential for domestic electricity company leaders. Meanwhile, it requires more accurate and timely information. Therefore, a comprehensive and unified information system that can operate on different platforms and transfer real-time data has been a trend of information-based industrial development. In the process of the informational construction of electric power industry, there is a massive volume of historical data lack of adequate utilization to offer substantial support for the decision-making of electric power enterprises. Based on the investigation and practices of many electric power corporations, this dissertation presents a new method of using computational verb theory (CVT) in electric power marketing. Subspace-based Multi-Dimensional classification algorithm is used in data preprocessing to ensure data optimization and reduce CVT computational complexity. With its excellent non-linear character, CVT is competent for non-linear processing, and predicting methods based on CVT are good for non-linear problems. The experiment results indicate that CVT model has good predicting effects in electric power distribution.
 * Master thesis(2009):, F. Chen, 电力营销系统中需电量预测的设计与实现,

Keywords: power marketing, computational verb theory, forecast technology, data preprocessing, data collecting"


 * Check IEEE database for other relevant papers by yourself. Just like the researches of fuzzy "something" is most likely directly or indirectly related to its brain father Professor Lotfi A. Zadeh, it is difficult to by-pass the connection to the pioneer of this field if one publish a work. Of course, at this stage it is difficult to distinguish self-promotion from originality. If one suggests to delete it based on this concern, it should be justified.


 * Finally, if someone comes up to me with the following logic: “IF I don’t understand Chinese THEN Chinese references are not notable,” sure, sir, delete everything listed here. I am more than happy to agree with you though I think that history will prove that you are wrong. — Preceding unsigned comment added by User:Computationalverb (talk • contribs)


 * (as nominator) If that's the best the article creator than do, then Delete all. Few independent references, none in survey articles.  Little publication in peer-reviewed journals, almost all by Yang.  In all fairness, the article creator doesn't understand Wikipedia policies, so it may be that that there is evidence of notability.  — Arthur Rubin  (talk) 14:48, 24 June 2010 (UTC)


 * Delete all - clearly a walled garden; no evidence of significant coverage in independent sources, so fails WP:NOTE. Gandalf61 (talk) 12:47, 24 June 2010 (UTC)
 * Delete all. None of the sources directly relevant to any of these articles appear to have been credibly subjected to any kind of peer review.  "Yang's Scientific Press" is apparently the vehicle for Tao Yang to self-publish his own books, as well as his own articles and those of his friends.  WP:SELFPUB should be applied judiciously here.   Sławomir Biały  (talk) 03:26, 25 June 2010 (UTC)
 * Delete all. As pointed out above: WP:NOTE, WP:SELFPUB.  Moreover: if this stuff were implementable according to some rigorous spec derived from the open literature, and clearly able to do what's claimed for it, there would (after all these years) be some code for the relevant algorithms available in open source.  I can't find any.  All I see is "source code" downloads available only from Yang's site.  Those downloads might only be wrapping the core algorithms in a DLL.  Meaning that if the image recognition (NSFW!) at Yang's site is actually being done with the software you can supposedly download from Yang's site (beware, .exe files!), there's still the possibility that it's using garden-variety image processing and computer vision techniques, under the hood, lightly reformulated into "computational verb" terms.  In short: I suspect from these Wikipedia articles, from the tone of Yang's claims and from the writing style, that we're in WP:FRINGE territory as well. Yakushima (talk) 10:44, 25 June 2010 (UTC)
 * The above discussion is preserved as an archive of the debate. Please do not modify it. Subsequent comments should be made on the appropriate discussion page (such as the article's talk page or in a deletion review). No further edits should be made to this page.