Artificial Intelligence Environment Research Articles

Body Shape Detection of Mongolian Students Based on Artificial Intelligence Environment Control Intervention Study

Body shape research is an interdisciplinary comprehensive subject Five colleges and universities of Xinjiang Bortala Mongolian Autonomous Prefecture, Bayinger Mongolian Autonomous Prefecture and Urumqi were selected as the body shape test observation points. The artificial intelligence detection of body shape indicators was carried out for Mongolian college students of the 17th, 18th, 19th and 20th years of age. From this, 368 effective card tests for 17-20 year old Mongolian young students were obtained. Through the sorting and statistical analysis, the conclusions and suggestions for the control intervention of the Mongolian students' body shape were obtained.

Conceiving a Vision within Artificial Intelligence Environments

Vision is a depiction of a future state an organization, a corporate culture, a technology or an activity may aspire to realise, and the relative position of the organization within that time-space continuum. It is a conceptualisation of a new and desirable future reality that can induce achievement and motivate followers. It is the business leaders who conceive visions and leading business corporations towards fulfilling them. This article has it focus on identifying types of vision and the building stones to reach them. The article starts with the definitions of the two objective variables: Vision and Artificial Intelligence. It then explores the likely impact of Artificial Intelligence and Data Sciences on the prospective visions of tomorrow. And it concludes with a framework for vision conception under the emerging driving forces of that no so distant future. The outcome of this work would be useful in guiding the process of strategic management of businesses under the emerging disruptive conditions of the Artificial Intelligence and Data Sciences.

Artificial Intelligence and Virtual Environment for Microalgal Source for Production of Nutraceuticals

Artificial Intelligence and Virtual Environment for Microalgal Source for Production of Nutraceuticals

Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten

This article examines the problem of AI memory and the Right to Be Forgotten. First, this article analyzes the legal background behind the Right to Be Forgotten, in order to understand its potential applicability to AI, including a discussion on the antagonism between the values of privacy and transparency under current E.U. privacy law. Next, the authors explore whether the Right to Be Forgotten is practicable or beneficial in an AI/machine learning context, in order to understand whether and how the law should address the Right to Be Forgotten in a post-AI world. The authors discuss the technical problems faced when adhering to strict interpretation of data deletion requirements under the Right to Be Forgotten, ultimately concluding that it may be impossible to fulfill the legal aims of the Right to Be Forgotten in artificial intelligence environments. Finally, this article addresses the core issue at the heart of the AI and Right to Be Forgotten problem: the unfortunate dearth of interdisciplinary scholarship supporting privacy law and regulation.

Sustainable development of education: mutual links of technology and pedagogy

The purpose of the paper is to compare the development trends of information and communication environment, the global educational space and pedagogical ideas, which directly or indirectly affect the application of ICT in education. The study has been based on the foresight results and the content of the Internet publications on the prospects for sustainable development of education in the context of UNESCO Incheon Declaration for Education 2030. The content analysis of pedagogical publications has demonstrated that the current understanding of knowledge appeals to its socialization and dissemination in the global network environment, whose technological basis is rapidly growing. The educational process in the Learning Society is regarded as a distributed one among some formal education establishments (“universities of the world for one”) and the community of content curators. The function of content curators is to deliver comments, generalize and promote new information that supports learning needs of different global network users. The relation model of the subjects of the informational and educational space has been described. The model includes lecturers and learners as well as the content curators. The necessity of humanitarian potential development in the informational and communicational environment has been argued as well as the development of a creative class of people who share their existential experience, knowledge and wisdom. The development of every society member in the robot-based artificial intelligence environment has been considered to be defective without any interpersonal interaction and learners’ activity in the online community. Thus, the psychological and pedagogical theories of connectionism, social learning, multiple intelligences, and some others are to be recognized in the development of hardware and software base for education technologies.

Biomorphic Neuroadaptive Interfaces in the Ergatic Systems: Problems and Solutions

The article shows evolution of the human-machine interface ergonomic systems in the direction of improvement of integration with human, who connects the controlled technical environments. The author presents a classification of the interfaces and the interface environments depending on the degree of the user's integration with the operating environment. The author describes the following types of the integrative interfaces based on the level of the physical interaction of the mechanical controls intended to complete integration of an actor (actors) in the organized working environment: mechanical, with an immediate visual feedback, the mechanical feedback through an information model, a computer user virtual, neurocomputing, symbiotic, biomorphic, technobiotics hypothetical interfaces embodied in the artificial intelligence environment. The author considers the interface, ensuring a direct link with the brain of an operator as one of the promising areas of the inter-system integration, which can be used in the form of a brain-computer technology. The author shows fundamental limitations in the technology and methodology for creation of this class of interfaces. The next section of the paper deals with the problems of creation of the hybrid biomorphic neuroadaptive interfaces, including creation of the artificial sensory modalities, which ensure an effective interaction with the operator control system. The author notes the potential of creation of the biomorphic and hybrid interfaces as a result of the joint use of the genetic engineering and technical design as a part of the system of non-classical representations. The key problem in creation of the biomorphic interfaces is the problem of inter-system integration between the classic technical systems and biological systems, which implement the cyclic self-reproduction (autopoiesis), because of the interference in the operational structure of the autopoietic systems, which leads to their destruction. In conclusion, the author points out that the evolution of the human integration with the artificial environment can lead to appearance of an embodied mind in an artificial environment, which goes beyond the human nature, organized like a non-biological media. This issue is currently on the cutting edge of the scientific knowledge and can be interesting as a philosophical problem arising in the extreme boundaries of the inter-system integration of man and technology.

Evolution of the Web in artificial intelligence environments

Evolution of the Web in artificial intelligence environments

An Integrated Knowledge Management Environment: A Study of Counter Terrorism Technologies

This paper investigates the impact of knowledge management on business practice and proposes a software environment that is in line with our vision. It necessarily ties together a plethora of interrelated computing disciplines — including artificial intelligence, database systems, and software development environments. These disciplines are treated from an applications perspective. The counter-terrorism domain was chosen to demonstrate the links between the technologies and corporate requirements as well as to demonstrate the practical values that can be achieved under the current state of development and business culture. In keeping with our vision, it is further demonstrated that the large volume of commercial and corporate data can be effectively used and controlled through the integration of data and knowledge management techniques to meet real-time information services.

A multi-agents based E-maintenance system with case-based reasoning decision support

Today, one challenge of a manufacturer is to maintain with the consumer, the expected service of the supplied product during the whole product life cycle, no matter where the product and the consumer are located. The combination of modern information processing and communication tools, commonly referred to as Tele-service, offers the technical support required to implement this remote service maintenance. However, this technical support is insufficient to face new remote maintenance decision-makings which requires not only informational exchanges between customers and suppliers but also co-operation and negotiation based on the sharing of different complementary and/or contradictory knowledge. It requires an evolution from Tele-service to E-service and e-Maintenance in particular where the maintenance decision-making results from collaboration of maintenance processes and experts to form a Distributed Artificial Intelligence environment. For this purpose, a Problem-Oriented Multi-Agent-Based E-Service System (POMAESS) is introduced in this paper. The protocol of negotiation for multi-agents and the “Case-Based Reasoning”-based decision support function within this system are discussed, emphasised at the service maintenance problem solving. A prototype system based on these methodologies is developed to demonstrate the feasibility.

Aspects of Change for Management in the Internet Environment

This paper will explore the challenge that technology will deliver to management at both the tactical and strategic level. Changes in communication, content of communication, globalization of communication, are critical to these changes. The environment will support a greater degree of discontinuities in planning which is brought about by the globalization of management activities. Successful management must encompose the management of these discontinuities but use information in an artificial intelligence environment. The integration of these data and the actions that come from that integration must be understood within a moral framework.

Adding Hard Real-Time Tasks to Artificial Intelligence Environments

In this paper, we present a task model suitable for providing predictability to artificial intelligence tasks, that allows us to incorporate AI techniques in real-time systems guaranteeing their response time. Furthermore, we propose a Real-Time Artificial Intelligence System architecture based on the previous task model and on the blackboard model, which uses the feasibility theory for fixed priority scheduling in order to guarantee the minimum system quality required.

An and—or-graph approach for two-dimensional cutting problems

The problem of generating guillotine cutting patterns for a rectangular plate is studied and a type of structure is proposed for representing the solution of the problem, called and-or graph, which is commonly used in the Artificial Intelligence environment. To search the graph we combined two classical strategies: depth-first and hill-climbing. Further, some heuristics are considered and computational results are presented, relating their performance on examples from both literature as well as randomly generated.

Artificial Intelligence and Learning Environments, Analogy for Automated Reasoning, Innovative Applications of Artificial Intelligence

Artificial Intelligence and Learning Environments, Analogy for Automated Reasoning, Innovative Applications of Artificial Intelligence

Co-operation in a distributed artificial intelligence environment—The StormCast application

Distribution and parallelism are two of the major topics which are central to current artificial intelligence research. In distributed artificial intelligence, these fundamental aspects are closely related to the problem of co-operation. This paper addresses co-operation issues in StormCast—a distributed artificial intelligence application for severe storm forecasting. The paper describes the system architecture and confirms the choice of co-operating strategy in this kind of application.

Hybrid Expert System for Construction Planning and Scheduling

This paper presents an integrated hybrid expert system for construction planning and scheduling. The system integrates through an expert system building tool (ESBT) a relational data base, knowledge base, and its control functions; a traditional network analysis software; and interfacing programs written in FORTRAN language. This prototype system, which uses a microcomputer‐based hybrid artificial intelligence environment, has some interesting features. One of its modules determines the job logic among the activities entered through an end‐user interface. Another module, consisting of a set of stand‐alone nested expert system submodules, modifies the unimpacted duration of activities to a realistic duration. These submodules account for variations in productivity level resulting from overtime, site congestion, reassignment of labor, learning curve, and weather conditions. An example application is presented to illustrate the essential features of the system. The system could be applied successfully in other domains, including teaching and training in construction management, analysis and preparation of construction claims, and management of contract changes.

Development of an artificial intelligence interface for robotic assembly in a flexible manufacturing system

Abstract A natural language, plan generating, artificial intelligence environment has been established, with the translation facilities to obtain robot control character strings, for the IBM 7545 manipulator. For this application, the manipulator is presumed to be installed in support of Dexible assembly opera-lions. The communications and functions necessary for the robot to perform the basic pickup, move, and putdown operations arc developed in a cohesive system. The plan generating.techniques of STRIPS are used for the implementation of these operations.

Knowledge-based systems for building technology in New Zealand

Abstract The aim of BRANZ Al research has been to investigate the potential of knowledge-based systems (KBS) for building codes as part of an integrated information resource for the building industry. At present, the Association's Artificial Intelligence (AI) environment is a VAX/VMS based local area network with Prolog and Class. The class knowledge engineering language has been developed by the by the KBS Research Unit at Auckland University. This cooperation with Auckland University has been a key feature of the KBS development, as has the involvement of BRANZ computing, scientific and field staff. The paper will discuss research aspects of the development of a number of KBS, including: FIRECODE, DAMP, SEALANT, ADHESIVE, WALLBRACE, SEISMIC, and SUBFLOORBRACE. Afield trial of KBS is to be undertaken on the Association's computerized information service (BRANZLINE), available to the building industry via a nation-wide packet-switching network. The KBS included in the trial, WALLBRACE and SUBFLOORBRACE, w...

HARP: A tableau-based theorem prover

This paper presents HARP, a complete, tableau-based theorem prover for first order logic, which is intended to be used both interactively and as an inference engine for Artificial Intelligence applications. Accordingly, HARP's construction is influenced by the design goals of ‘naturalness’, efficiency, usefulness in an Artificial Intelligence environment, and modifiability of the control structure by heuristics. To achieve these goals, HARP accepts the entire language of first order logic, i.e. avoids conversion to any kind of normal form, and combines a proof condensation procedure with explicitly represented, declaratively formulated heuristics to construct and communicate its proofs in a format congenial to people. The proof condensation procedure makes proof shorter and more readable by excising redundancies from proof trees. Domain-independent heuristics are formulated to capture efficient and human-like deduction strategies and to rapidly detect certain types of nontheorems. Domain-dependent heuristics can be used to implement specific control regimes, e.g. to efficiently support inheritance. HARP's architecture-and the concomitant ready extensibility of its control structure by declarative heuristic rules-renders it easy to let extralogical information, e.g. semantic and world knowledge, guide the search for proofs and help eliminate irrelevant premisses.

Experiments with microcomputer-based artificial intelligence environments

The U.S. Geological Survey (USGS) has been experimenting with the use of relatively inexpensive microcomputers as artificial intelligence (AI) development environments. Several AI languages are available that perform fairly well on desk-top personal computers, as are low-to-medium cost expert system packages. Although performance of these systems is respectable, their speed and capacity limitations are questionable for serious earth science applications foreseen by the USGS. The most capable artificial intelligence applications currently are concentrated on what is known as the “artificial intelligence computer,” and include Xerox D-series, Tektronix 4400 series, Symbolics 3600, VAX, LMI, and Texas Instruments Explorer. The artificial intelligence computer runs expert system shells and Lisp, Prolog, and Smalltalk programming languages. However, these AI environments are expensive. Recently, inexpensive 32-bit hardware has become available for the IBM/AT microcomputer. USGS has acquired and recently completed Beta-testing of the Gold Hill Systems 80386 Hummingboard, which runs Common Lisp on an IBM/AT microcomputer. Hummingboard appears to have the potential to overcome many of the speed/capacity limitations observed with AI-applications on standard personal computers. USGS is a Beta-test site for the Gold Hill Systems GoldWorks expert system. GoldWorks combines some high-end expert system shell capabilities in a medium-cost package. This shell is developed in Common Lisp, runs on the 80386 Hummingboard, and provides some expert system features formerly available only on AI-computers including frame and rule-based reasoning, on-line tutorial, multiple inheritance, and object-programming.

Using APL in an Artificial Intelligence environment

The design of a Biographical Database System is used as a means of demonstrating that APL is a suitable language in which to develop large computer systems making use of Artificial Intelligence (AI) techniques.