205,092 research outputs found
Virtual personal assistant
Abstract This report discusses ways in which new technology could be harnessed to create an intelligent Virtual Personal Assistant (VPA) with a focus on user-based information. It will look at examples of intelligent programs with natural language processing that are currently available, with different categories of support, and examine the potential usefulness of one specific piece of software as a VPA. This engages the ability to communicate socially through natural language processing, holding (and analysing) information within the context of the user. It is suggested that new technologies may soon make the idea of virtual personal assistants a reality. Experiments conducted on this system, combined with user testing, have provided evidence that a basic program with natural language processing algorithms in the form of a VPA, with basic natural language processing and the ability to function without the need for other type of human input (or programming) may already be viable
A Comparison Between BLEU and METEOR Metrics Used for Assessing Students within an Informatics Discipline Course
AbstractThis paper is proposing a very brief review of the Intelligent Tutoring System general structure and the use of Natural Language Processing techniques within such system. Also, this paper is proposing a review of the comparison performed by the author between the use of the Natural language Processing metrics, BLEU and METEOR algorithms, for students knowledge assessment module, within an Intelligent Tutoring System developed by the author for teaching, learning and assessing students with applicability to the course of Programming of Computers and C language
The crustal dynamics intelligent user interface anthology
The National Space Science Data Center (NSSDC) has initiated an Intelligent Data Management (IDM) research effort which has, as one of its components, the development of an Intelligent User Interface (IUI). The intent of the IUI is to develop a friendly and intelligent user interface service based on expert systems and natural language processing technologies. The purpose of such a service is to support the large number of potential scientific and engineering users that have need of space and land-related research and technical data, but have little or no experience in query languages or understanding of the information content or architecture of the databases of interest. This document presents the design concepts, development approach and evaluation of the performance of a prototype IUI system for the Crustal Dynamics Project Database, which was developed using a microcomputer-based expert system tool (M. 1), the natural language query processor THEMIS, and the graphics software system GSS. The IUI design is based on a multiple view representation of a database from both the user and database perspective, with intelligent processes to translate between the views
Self Generated Wargame AI: Double Layer Agent Task Planning Based on Large Language Model
The large language models represented by ChatGPT have a disruptive impact on
the field of artificial intelligence. But it mainly focuses on natural language
processing, speech recognition, machine learning and natural language
understanding. This paper innovatively applies the large language model to the
field of intelligent decision-making, places the large language model in the
decision-making center, and constructs an agent architecture with the large
language model as the core. Based on this, it further proposes a two-layer
agent task planning, issues and executes decision commands through the
interaction of natural language, and carries out simulation verification
through the wargame simulation environment. Through the game confrontation
simulation experiment, it is found that the intelligent decision-making ability
of the large language model is significantly stronger than the commonly used
reinforcement learning AI and rule AI, and the intelligence, understandability
and generalization are all better. And through experiments, it was found that
the intelligence of the large language model is closely related to prompt. This
work also extends the large language model from previous human-computer
interaction to the field of intelligent decision-making, which has important
reference value and significance for the development of intelligent
decision-making
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