scholarly journals Multiple Agent Based Entailment System(MABES) for RTE

10.29007/1gv1 ◽  
2018 ◽  
Author(s):  
Byungtaek Jung ◽  
Chiseung Soh ◽  
Kihyun Hong ◽  
Seungtak Lim ◽  
Young-Yik Rhim
Keyword(s):  
Artificial Intelligence ◽  
Expert Knowledge ◽  
Legal Reasoning ◽  
Agent Based ◽  
Knowledge Based ◽  
Multiple Agent ◽  
Textual Entailment ◽  
Legal Knowledge Representation ◽  
Recognizing Textual Entailment ◽  
Legal Expertise

Despite growing needs of the legal artificial intelligence (AI), its development is slower than other AI domains because legal expertise is essentially required to develop legal AI systems. Legal knowledge representation on legal expertise needs to be considered to implement legal reasoning AI systems. In this paper, we present a legal reasoning methodology, which utilizes multiple expert knowledge based agents. These agents are designed to solve recognizing textual entailment (RTE) problems with syntactic and interpretative knowledge. The validity of the proposed method is provided through experiments with the COLIEE 2017 data.

Artificial Intelligence and Geometric Reasoning in Manufacturing Technology

1986 ◽  
Vol 39 (9) ◽  
pp. 1325-1330 ◽  
Author(s):  
John R. Dixon ◽  
Clive L. Dym
Keyword(s):  
Artificial Intelligence ◽  
Design Process ◽  
Expert Knowledge ◽  
Geometric Reasoning ◽  
Geometric Representation ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Planning And Design ◽  
Control Assembly ◽  
Applications Of Ai

This article presents a brief review of the current literature on the applications of artificial intelligence (AI) technologies, and especially expert (knowledge-based) systems, to manufacturing. Emphasis is placed on geometric representation and reasoning in design as an aid to manufacturing. Also discussed are applications of AI to process planning and design, process control, assembly, and other phases of manufacturing.

Artificial Intelligence Systems in Aviation

2019 ◽  
pp. 1-26 ◽  
Author(s):  
Ramgopal Kashyap
Keyword(s):  
Artificial Intelligence ◽  
Traffic Management ◽  
Aircraft Engine ◽  
Air Traffic Management ◽  
Transit System ◽  
Agent Based ◽  
Knowledge Based ◽  
Control Framework ◽  
Knowledge Based Engineering ◽  
Artificial Intelligence Systems

The aim of this chapter is to research and fundamentally evaluate counterfeit shrewd frameworks to recognize for outperforming human insight in the flights and its conceivable ramifications. How artificial intelligence (AI) makes current airship framework incorporates an assortment of programmed control framework that guides the flight team in route, flight administration and enlarging the security qualities of the plane, and how building aircraft engine diagnostics ontology, air traffic management, and constraint programming (CP) is useful in ATM setting. How flight security can be enhanced through the advancement and usage of mining, utilizing its outcomes and knowledge-based engineering (KBE) approach in an all-encompassing methodology for use in airship reasonable outline, is discussed. The early recognizable proof and finding of mistakes, the study of huge information and its effect on the transportation business and enhanced transit system, the agent-based mobile airline search, and booking framework using AI are shown.

scholarly journals Knowledge-Based Textual Inference via Parse-Tree Transformations

2015 ◽  
Vol 54 ◽  
pp. 1-57 ◽  
Author(s):  
Roy Bar-Haim ◽  
Ido Dagan ◽  
Jonathan Berant
Keyword(s):  
Natural Language ◽  
Relation Extraction ◽  
Practical Applications ◽  
Knowledge Based ◽  
Tree Transformations ◽  
Textual Entailment ◽  
Automatic Methods ◽  
Parse Trees ◽  
Recognizing Textual Entailment ◽  
Meaning Representation

Textual inference is an important component in many applications for understanding natural language. Classical approaches to textual inference rely on logical representations for meaning, which may be regarded as "external" to the natural language itself. However, practical applications usually adopt shallower lexical or lexical-syntactic representations, which correspond closely to language structure. In many cases, such approaches lack a principled meaning representation and inference framework. We describe an inference formalism that operates directly on language-based structures, particularly syntactic parse trees. New trees are generated by applying inference rules, which provide a unified representation for varying types of inferences. We use manual and automatic methods to generate these rules, which cover generic linguistic structures as well as specific lexical-based inferences. We also present a novel packed data-structure and a corresponding inference algorithm that allows efficient implementation of this formalism. We proved the correctness of the new algorithm and established its efficiency analytically and empirically. The utility of our approach was illustrated on two tasks: unsupervised relation extraction from a large corpus, and the Recognizing Textual Entailment (RTE) benchmarks.

Reforming Arab Reason

2018 ◽  
Vol 11 (1-2) ◽  
pp. 19-42
Author(s):  
Khalid Shibib
Keyword(s):  
Arab World ◽  
Legal Reasoning ◽  
Decisive Role ◽  
Arab Countries ◽  
Religious Knowledge ◽  
Intrinsic Factors ◽  
Knowledge Based ◽  
Present Information ◽  
Cultural Construct ◽  
Political Economic

As a humanitarian worker who was professionally involved for decades in crisis- and war-shaken countries, the author strove to understand the political, socioeconomic, and cultural factors contributing to conflicts. This contextualization, with a focus on Arab countries, confirmed what other thinkers found: the majority of political, economic, social, cultural, religious, and finally humanitarian crises in the Arab world are man-made and can be attributed to both extrinsic and intrinsic factors. Central to the latter appears to be a shared cultural construct that can be termed “Arab reason.” This essay tries to present information on various aspects of the crisis; to understand why reform efforts come so late and why are they are more difficult for Arabs than for other Muslims. It continues by looking at the knowledge systems that govern Arab reason and their evolution, including the decisive role of the religious knowledge system. From there, it proposes some reform ideas including a renewed legal reasoning process with the goal of a future-oriented, knowledge-based, and inclusive Arab Islamic vision. A pragmatic way forward could be an additional unifying eighth legal school (madhhab/madhāhib) to counter sectarian conflicts and violence. This essay is built on a targeted literature search and is not a comprehensive review of the growing literature generated by distinguished thinkers on various aspects of Arab Islamic identity.

Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering.

1986 ◽  
Author(s):  
Simon S. Kim ◽  
Mary Lou Maher ◽  
Raymond E. Levitt ◽  
Martin F. Rooney ◽  
Thomas J. Siller
Keyword(s):  
Civil Engineering ◽  
Expert Knowledge ◽  
State Of The Art ◽  
The State ◽  
Knowledge Based Systems ◽  
Knowledge Based

scholarly journals Hybrid Models for Efficient Control, Optimization, and Monitoring of Thermo-Chemical Processes and Plants

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 515
Author(s):  
Thomas Freudenmann ◽  
Hans-Joachim Gehrmann ◽  
Krasimir Aleksandrov ◽  
Mohanad El-Haji ◽  
Dieter Stapf
Keyword(s):  
Artificial Intelligence ◽  
Expert Knowledge ◽  
Numerical Models ◽  
Integrated Control ◽  
Nox Reduction ◽  
Hybrid Models ◽  
Control Optimization ◽  
Pulverized Fuel ◽  
Renewable Energy Law ◽  
Institute Of Technology

This paper describes a procedure and an IT product that combine numerical models, expert knowledge, and data-based models through artificial intelligence (AI)-based hybrid models to enable the integrated control, optimization, and monitoring of processes and plants. The working principle of the hybrid model is demonstrated by NOx reduction through guided oscillating combustion at the pulverized fuel boiler pilot incineration plant at the Institute for Technical Chemistry, Karlsruhe Institute of Technology. The presented example refers to coal firing, but the approach can be easily applied to any other type of nitrogen-containing solid fuel. The need for a reduction in operation and maintenance costs for biomass-fired plants is huge, especially in the frame of emission reductions and, in the case of Germany, the potential loss of funding as a result of the Renewable Energy Law (Erneuerbare-Energien-Gesetz) for plants older than 20 years. Other social aspects, such as the departure of experienced personnel may be another reason for the increasing demand for data mining and the use of artificial intelligence (AI).

scholarly journals Experts versus Algorithms? Optimized Fuzzy Logic Energy Management of Autonomous PV Hybrid Systems with Battery and H2 Storage

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1777
Author(s):  
Lisa Gerlach ◽  
Thilo Bocklisch
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Fuzzy Logic Controller ◽  
Expert Knowledge ◽  
Large Power ◽  
Hybrid Energy ◽  
Knowledge Based ◽  
Long Term Storage ◽  
Fuzzy Logic Approach

Off-grid applications based on intermittent solar power benefit greatly from hybrid energy storage systems consisting of a battery short-term and a hydrogen long-term storage path. An intelligent energy management is required to balance short-, intermediate- and long-term fluctuations in electricity demand and supply, while maximizing system efficiency and minimizing component stress. An energy management was developed that combines the benefits of an expert-knowledge based fuzzy logic approach with a metaheuristic particle swarm optimization. Unlike in most existing work, interpretability of the optimized fuzzy logic controller is maintained, allowing the expert to evaluate and adjust it if deemed necessary. The energy management was tested with 65 1-year household load datasets. It was shown that the expert tuned controller is more robust to changes in load pattern then the optimized controller. However, simple readjustments restore robustness, while largely retaining the benefits achieved through optimization. Nevertheless, it was demonstrated that there is no one-size-fits-all tuning. Especially, large power peaks on the demand-side require overly conservative tunings. This is not desirable in situations where such peaks can be avoided through other means.

Heuristic Design of a Material Processing Component

1990 ◽  
Author(s):  
Vikram R. Jamalabad ◽  
Noshir A. Langrana ◽  
Yogesh Jaluria
Keyword(s):  
Heuristic Search ◽  
Expert Knowledge ◽  
Object Oriented ◽  
Engineering Process ◽  
Efficient Design ◽  
Cross Sectional ◽  
Design Algorithm ◽  
Initial Design ◽  
Knowledge Based ◽  
Processing Component

Abstract The main thrust of this research is in developing a knowledge-based system for the design of a mechanical engineering process. The study concentrates on developing methodologies for initial design and redesign in a qualitative format. The component selected is a die for plastic extrusion. A design algorithm using best first heuristic search and expert knowledge, both in procedural and declarative form, forms the core of the process. Initial design and redesign methodologies are presented that can enable efficient design of a component using expert knowledge. Some generality has been accomplished by the implementation of the techniques to dies of different cross sectional shapes. The software is written in Lisp within an object oriented software package using analysis modules written in C.

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