Knowledge Representation

نویسندگان

  • Daniel G. Bobrow
  • Gary G. Hendrix
  • William A. Martin
  • John McCarthy
  • Allen Newell
  • Roger C. Schank
  • Brian Cantwell Smith
  • N. S. Sridharan
چکیده

A basic premise of current work in Artificial Intelligence is that the intelligence of systems is a function of the knowledge they contain, and that the utility of this knowledge is in part dependent on the form of its representation. In order to compare different forms of knowledge representation, I asked each of the panel members listed below to respond briefly to three questions. In the little space available, there was obviously no way of exploring these questions in any detail, or to explore more than a personal view of a particular approach. References are provided to more extended discussions in relevant papers. The reader should expect to use this paper as a pointer to what each panel member thinks is important, not as an introduction to the material discussed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Neuron Mathematical Model Representation of Neural Tensor Network for RDF Knowledge Base Completion

In this paper, a state-of-the-art neuron mathematical model of neural tensor network (NTN) is proposed to RDF knowledge base completion problem. One of the difficulties with the parameter of the network is that representation of its neuron mathematical model is not possible. For this reason, a new representation of this network is suggested that solves this difficulty. In the representation, th...

متن کامل

Organization of Gatekeeping and Mental Framework in the System of Representation and Hierarchical Relational Structures of the Modern Society

Critical discourse analysis as a type of social practice reveals how linguistic choices enable speakers to manipulate the realizations of agency and power in the representation of action.The present study examines the relationship between language and ideology and explores how such a relationship is represented in the analysis of spoken text and to show how declarative knowledge, beliefs, attit...

متن کامل

Deblocking Joint Photographic Experts Group Compressed Images via Self-learning Sparse Representation

JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this ...

متن کامل

Considering Uncertainty in Modeling Historical Knowledge

Simplifying and structuring qualitatively complex knowledge, quantifying it in a certain way to make it reusable and easily accessible are all aspects that are not new to historians. Computer science is currently approaching a solution to some of these problems, or at least making it easier to work with historical data. In this paper, we propose a historical knowledge representation model takin...

متن کامل

Representation of knowledge production of leadership and educational management in international specialized journals and global databases

Objective: The aim of this study was to identify knowledge production of leadership and educational management of the faculty members of the educational management departments of Iranian public universities in international specialized journals and Web of science and Scopus databases. Materials and Methods: A comprehensive search without time limit was conducted in 8 international specialized j...

متن کامل

Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach

In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1977