artificial intelligence research papers 5 year 2012
Fuzzy logic: between human reasoning and artificial intelligence
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Abstract Fuzzy logic is an extension of Boolean logic by Lotfi Zadeh in 1965 based on the
mathematical theory of fuzzy sets, which is a generalization of classical set theory. By
introducing the concept of degree in the verification of a condition, allowing a condition of
Methodologies to Amalgamate Artificial Intelligence and Software Engineering
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C Khatwani
Abstract—Software Engineering (SE) and Artificial Intelligence (AI) are the two different
disciplines that have developed without much indulgence with each other. The intersection
between these two disciplines is currently rare but growing at an enormous rate. Merging
Combination of Taguchi Method and Artificial Intelligence Techniques for the Optimal Design of Flat-plate Collectors
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S Kalogirou ,ases.conference-services.net
ABSTRACT In this paper, artificial neural networks (ANNs) and genetic algorithms (GAs) are
used for the design of solar flat-plate collectors. It is proved in this paper that by using the
Taguchi method for selecting the data required for training the ANN is very effective in
THE USE OF ARTIFICIAL INTELLIGENCE TO BASELINE THE ENERGY USE OF A CAMPUS
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WH Kaiser, LJ Grobler ,timetable.cput.ac.za
ABSTRACT This paper investigates the technique of modelling a baseline with the aid of
artificial intelligence (AI) for the tracking and evaluation of Demand Side Management
(DSM). AI was used to develop the baseline purposes. The study was conducted at the
Botzone: A Game Playing System for Artificial Intelligence Education
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H Zhang, G Gao, W Li, C Zhong, W Yu, C Wang ,elrond.informatik.tu-freiberg.de
Abstract-The Botzone Intelligent Agent Platform is an online intelligent agent competition
platform. The Botzone is designed to evaluate the intelligence of agents through
competitions between them. The Botzone provides a context for users to learn basic AI
Artificial Intelligence and the Design of Cognitive Systems
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E Sandewall ,ida.liu.se
At present there is an important trend towards synergy between research in Artificial
Intelligence and in Cognitive Systems. From the Artificial Intelligence point of view this
represents a return to the original goal of Artificial Intelligence research, namely, the
Optimal Placement of Phasor Measurement Units for State Estimation using Artificial Intelligence Techniques
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GR Tankasala, S Sanisetty, VK Vala
Abstract—This paper deals with a study carried out to determine the optimal locations of
phasor measurement units (PMUs) for a given power system. Power systems are rapidly
becoming populated by PMUs as they provide valuable phasor information of voltages
Integrating Random Character Generation to Enhance CAPTCHA using Artificial Intelligence
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MB Thombare, PM Derle, AK Wandre
Tell Computers and Humans Apart (CAPTCHAs) are now an almost standard security
mechanisms for defending against undesirable and malicious bot programs on the Internet
(especially those bots that can sign up for thousands of accounts a minute with free email
Information–Entropy Theory of Artificial Intelligence
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G Rajna ,vixra.org
The basic theory on which one chess program can be constructed is that there exists a
general characteristic of the game of chess, namely the concept of entropy. We can think
about the positive logarithmic values as the measure of entropy and the negative
TO VALIDATION PLANS FOR SATELLITE CONTROL GENERATED WITH PLANNERS SYSTEMS BASED AUTONOMOUS ARTIFICIAL INTELLIGENCE
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AA de Souza Ivo, MGV Ferreira, N Sant’Anna ,spaceops2012.org
PLANNERS SYSTEMS BASED AUTONOMOUS ARTIFICIAL INTELLIGENCE André A.
de Souza Ivo1, Mauricio G. Vieira Ferreira1, The scheduling or autonomous planning
is one of the areas of artificial intelligence (IA), which develops the
Artificial Intelligence in Robot Path Planning
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Y Gigras, K Gupta ,International Journal of Soft Computing
Abstract—Mobile robot path planning problem is an important combinational content of
artificial intelligence and robotics. Its mission is to be independently movement from the
starting point to the target point make robots in their work environment while satisfying
Expansion of the Panama Canal: Simulation Modeling and Artificial Intelligence
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G Lim, JW Herrmann ,ulat.ac.pa
This paper discusses the development of a hybrid model using discrete-event simulation and
system dynamics of the Panama Canal Expansion. The different operational processes are modeled
using the current set of locks and additional processes have been added to reflect the
Connections amongst robotics, computers and artificial intelligence
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Z Istenes ,quasar.inf.elte.hu
Robots, computers and artificial intelligence are closely connected to each other. Their
development shows several similarities. The future development of the robots and its
spreading in our everyday life will be expectedly measurable to the development of the
Artificial Intelligence Based Surface Roughness Prediction Modeling for Three Dimensional End Milling
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MSJ Hossain, N Ahmad
Abstract Surface roughness is an index which determines the quality of machined products
and is influenced by the cutting parameters. In this study the average surface roughness Ra
(value) for Aluminum after ball end milling operation has been measured. 84 experiments
A STUDY AND ANALYSIS OF OPTIMIZED PROCESSING WRT TIME AND COST FORARTIFICIAL INTELLIGENCE: THE CONNECTIONIST LEARNING
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S Kumar, H Gautam ,visioncatalyst.in
ABSTRACT This article describes Artificial Neural Network as an important processing
paradigm that is inspired by the way biological nervous system, such as the brain process
information. Connectionism is basically an arrangement of network in such a way that is
New Paradigms in Artificial Intelligence. The Experience of a Romanian Project
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B PREPELITA-RAILEANU, V PREPELITA, R ROMANIA
Abstract: The paper brings forward the Romanian master program ITEMS (Techniques for
Analysis, Modelling and Simulation for Imaging, Bioinformatics and Complex Systems)
which has been conceived as a research master at the confluence of information
CS365: ARTIFICIAL INTELLIGENCE
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K Manuja, VA Sai ,cse.iitk.ac.in
Our Project gets its motivation from successful object detection or scene categorization from
unlabeled static images. For a detailed review of 2D descriptors see [4]. But, it is a
challenging task for computers to classify different actions in video sequences because of
Weighted Logics for Artificial Intelligence: an Introductory Discussion
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D Dubois, L Godo, H Prade ,Weighted Logics for Artificial Intelligence lirmm.fr
Abstract. We present a brief, structured introductory overview of a landscape of weighted
logics (in a general sense) that can be found in the literature on Artificial Intelligence,
highlighting their fundamental differences and application areas.
200 DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE PROGRAMMING COURSE AND UNITY3D BASED FRAMEWORK TO MOTIVATE LEARNING IN ARTISTIC
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L Reng ,CONFERENCE ON ENGINEERING EDUCATION , 2012 ,julkaisut.turkuamk.fi
The paper investigates and poses a number of potent solutions to the problem of teaching
artificial intelligence programming and other technical topics to students who are neither
technically skilled nor aspired to learn these. The research continues and extends a study
Reducing Long-Term Catastrophic Risks from Artificial Intelligence
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E Yudkowsky, A Salamon, C Shulman, S Kaas ,singularity.org
Abstract In 1965, IJ Good proposed that machines would one day be smart enough to make
themselves smarter. Having made themselves smarter, they would spot still further
opportunities for improvement, quickly leaving human intelligence far behind (Good 1965)
The Overview of New Trends in Hybrid Artificial-Intelligence and Control Techniques
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R Namdev, MS Bhadoria, A Yadav ,akgec.org
Abstract This paper presents comprehensive overview of the recent developments in hybrid
artificial intelligence and control techniques, their structure, properties and their respective
fields of implementation. This paper surveys all the neural techniques developed in last
Artificial Intelligence Techniques to Evaluate Transformer Switching Overvoltages
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Abstract—One of the major concerns, especially at the beginning of a system restoration, is
related to temporary overvoltages. Such an overvoltage might damage some equipment and
delay power system restoration. In this paper an Artificial Neural Network (ANN)-based
SMART MARKETING: A STUDY FOR EFFECTIVE SOLUTION OF MARKETING USINGARTIFICIAL INTELLIGENCE
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S Loomba, R Singla, P Garg ,gjmr.org
ABSTRACT The need to cover the topic in an accessible and practical way as concentrating
in the field of marketing arises. In today’s market where professionals need to be equipped
with qualities and quantitative skills, the ability to master new and alternative method is
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