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In Artificial Intelligence (AI), utility functions are used to compare the relative goodness of an AI system making one decision over another. These utility functions, along with their coefficients and parameters, comprise a set of beliefs. The term “belief” is used to describe how autonomous systems associate quantified confidences in the existence of things that make up their worldly knowledge;...
In contrast to intelligence, wisdom is the part of the propositional knowledge part of the background of knowledge that is a mean between two extremes of believing without sufficient evidence and not believing with sufficient evidence. Wisdom may be incorporated in an artificial intelligence system as artificial wisdom (AW). An intelligence system with AW, will learn a collection of activities like...
With the rapid advancement of hardware efficiency in recent years, computation power has significantly improved, increasing the speed and depths of the game tree search in computer chess programs. However, to satisfy the need of increasing search depth, the investment in hardware is no longer personally affordable. Thus, another method must be found in addition to improving the efficiency of hardware...
In the aftermath of several recent catastrophic intelligence failures, the U.S. Government commissioned a series of studies to evaluate analytic methods and tradecraft. Those reports made specific recommendations to address consistent and systematic errors known as judgment biases found in all forms of analysis: predictive, estimative, and forensic. To correct for bias, a small number of methodological...
In this paper we describe a phonetic classification of Japanese puns (dajare). Basing on real life examples gathered from available sources (books, Internet), we divided Japanese puns into 12 groups with numerous subgroups, according to phonetic changes that occur within them. This classification was prepared for the NLP purpose, i.e. to be used in humor processing. Its usefulness was shown in a research...
In 1957 J. von Neumann introduced the Primary Language when he suggested that the languages we use are just external languages while the Primary Language is the only internal language of the human brain. Due to its age this cannot be symbolic. Instead, this must be a system of hybrid and mostly analog algorithms embedded in the human brain. This paper reports results of research on two possible components...
This paper proposes a saturation adjustment method based on human vision with YCbCr color model characteristics and luminance changes. In the traditional color adjustment approach, people tried to separately adjust the luminance and saturation. However, this approach makes the color over-saturate very easily and makes the image look unnatural. In this work, we try to use the concept of exposure compensation...
This paper presents a content-based image retrieval (CBIR) system using multiple Hierarchical Temporal Memory classifiers. in order to improve the efficiency of image management and retrieval, the CBIR system proposed in this paper take advantage of Hierarchical Temporal Memory Algorithm which replicates the structure and function of the human neocortex. in this study, multiple Hierarchical Temporal...
The ability to automatically predict likelihood of reaction to specific events and situational awareness is important to many military and commercial applications. Gauging population sentiment for targeted response areas and having the ability to predict or control sentiment within these areas is invaluable. Review of reception towards deployed forces must be analyzed, especially in areas vital for...
Hierarchical task network (HTN) is widely used for intelligent planning. For typical HTN algorithm, if the current state does not support any decomposition prescription, the HTN planner will not try to change the state, but just return failure. This characteristic requires technicians to compile a large prescription database, which is time consuming. To overcome this shortcoming, the paper infuses...
GORGE is the name of a research tool developed for investigations into playful development of technology competence. As a research tool, it has been employed several times in varying settings and application scenarios always quite successfully. Set up as a browser game, GORGE is now invading private homes. Playing GORGE may result in a gain of technology competence provided that particular aspects...
This paper describes an intelligent traffic management system applied to road intersections, namely round-about and crossroads. A microscopic traffic simulator was developed to study intelligent traffic management techniques and evaluate their performance. The intelligent management techniques are aimed to minimize accidents, traffic congestion and consequently the environmental costs of road traffic...
A main challenge facing the law-enforcement and intelligence-gathering environment is accurately and efficiently analyzing the huge volumes of data. Analyzing crime data can be difficult because of recognizing key features and transactions among the large amounts of data, of which only a small section is relevant to illegal process. An intelligent forensic system (IFS) is a powerful medium that enables...
This work proposes an intelligent and interactive virtual fence system for security management in a danger-or accident-prone area. The proposed system is designed to be realized in an outdoor and wide-area park. With the proposed system, users can visually and arbitrarily define the polygonic alert area for the sake of security. The Gaussian Mixture Model (GMM) and AdaBoost algorithms are modified...
The video games industry is one of the fastest-growing industries in the world, bolstered by sophisticated technology in gaming consoles and modern trends such as mobile and social gaming. The goal of most video games is to entertain the gamer and in most games this stems from the interaction between the gamer and the non-player characters (NPCs): it is no longer sufficient for a game to be visually...
We present a controller for the Physical Travelling Salesman Problem (PTSP), a path planning and steering problem in a simulated continuous real-time domain. Our approach is hierarchical, using domain-specific algorithms and heuristics to plan a coarse-grained route and Monte Carlo Tree Search (MCTS) to plan and steer along fine-grained paths. The MCTS component uses macro-actions to decrease the...
We present the work on our integrated AI system SCAIL, which is capable of playing a full round of the Real-Time Strategy game Starcraft. Our system makes use of modern AI techniques such as particle filtering, on-line machine learning, drive-based motivation systems and artificial emotions, used to find novel structure in the dynamic playing environment, which is exploited by both high and low-level...
Several concepts from traditional research on Artificial Intelligence (AI) need to be trained before they can be used. For example, when applied to a computer game, its AI framework has to “learn” how the game should be played. However, such trainings may not be trivial due to the often complex game world environments. This paper presents a novel training approach for game AI frameworks where, instead...
Sentence fragment has a wide range of applications, such as short text mining, flow diagram search based on label similarity and so on. Existing methods aren't entirely appropriate for measuring similarity between sentence fragments since they were originally designed for complete sentences or long texts. So we pay more attention to proper nouns which carry important information in sentence fragments...
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