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The relationship between philosophy and computer engineering is considered, with particular emphasis upon the design of artificial moral agents. Top-down vs. bottom-up approaches to ethical behavior are discussed, followed by an overview of some of the ways in which traditional ethics has informed robotics. Two macro-trends are then identified, one involving the evolution of moral consciousness (conscience)...
The ability to compare a vague description of a person with a known dataset of people is an invaluable tool for various security related applications. This notion is built upon to allow the fusion of various descriptions of the same person to create a suspect description, which is then compared against the dataset of known people. Two different methods have been built that are based upon the various...
Assigning intonation to dialogue system output in a way that reflects relationships between entities in the discourse context can enhance the acceptability of system utterances. Previous research concentrated on the role of linguistic context; dialogue situatedness and the role of visual context in determining accent placement has not been studied. We present an experimental study on the influence...
This chapter presents results concerning a new pattern of human knowledge. The new pattern is based on the experimentation of the causal relations. The cultural origin of the patterns is analyzed in terms of philosophical, psychological and linguistic aspects. The scenario concerning a robot integrated in a cognitive system is described. The definitions of signatures and of signature classes are given...
Human gait is nowadays undergoing extensive analysis. Our work focuses on predicting human gait with the use of angle-angle diagrams, also called cyclograms. In conjunction with artificial intelligence, cyclograms offer a wide area of medical applications. Predictions of leg movements can be used for orthosis and prosthesis programming, and also for rehabilitation. We have identified cyclogram characteristics...
The presented work on behavioural game AI stems from a research into using games to assess and evaluate human (game playing) behaviour. These games must be designed such that all (human) players are faced with identical situations because only then can the results be compared. This in turn requires the AI players to adhere to precisely defined behaviours. This paper outlines a formalism for the unambiguous...
In this paper, we introduce a new active information display system which is based on Intelligent Space and a projector mounted mobile robot. This system is able to afford a human with relevant information by projecting it on where the human is looking such as a wall, a floor, and a door. For this system, Intelligent Space should recognize location of human. To estimate position of human in Intelligent...
Everyone is familiar with the scenario, people demand or assign tasks to robots, and robots execute the tasks to serve people. We call such a model Serve-on-Demand. With the advancement of pervasive computing, machine learning and artificial intelligence, the robot service of the next generation will inevitably turn to actively and exactly meet people's needs, even without explicit demand. We call...
An expert system is computer software that solves real world problems using human knowledge and reasoning skills. Knowledge base is the heart and mind of such system where knowledge is stored in the form of rules, databases, heuristics and facts. The key conceptual challenge in this approach is the exploitation of the domain knowledge that is vast and mainly in the minds of experts and is a major...
Pondering digital games, in general, and discussing details such as, e.g., innovations of NPC behavior and AI, of interface technologies, of serious games application areas, and the like requires a language of scientific discourse. Contributions to a taxonomy of digital games and of digital game playing are essential preliminaries to a digital games science. There is introduced a canonical taxonomy...
Ms. Pac-Man is a challenging, classic arcade game that provides an interesting platform for Artificial Intelligence (AI) research. This paper reports the first Monte-Carlo approach to develop a ghost avoidance module of an intelligent agent that plays the game. Our experimental results show that the look-ahead ability of Monte-Carlo simulation often prevents Ms. Pac-Man being trapped by ghosts and...
Risk prediction is important for crisis management, not only for city control but also for human health. We predicted human condition using Artificial Intelligence Approach by analyzing the blood test. We chose psychological stressor (life events) in one year after disaster, emotional supports, private Self-Consciousness (priSC) that is people's tendency of taking attention to themselves, PTSD (mental...
People are capturing and storing an ever-increasing amount of information about themselves, such as digital images. New technologies, in addition to increasing the need to store daily activities via images and for retrieval capacity, have led to the development of interaction methods for this information. Therefore, this case study suggests an Artificial Mirror interaction system to enable access...
The ability of human brain in making decisions based on the available information stored in the memory and the information provided through cognitive process are the motivations of simulating human intelligence. This paper presents a brain model able to recognize biological behavioral patterns of human locomotion using synergetic approach. Two human-like motion patterns are studied here: slow and...
The following topics are dealt with:Software, architectures; hardware architectures; control architectures; human science; human-humanoid interaction; whole-body motion planning; skill learning; social robotics; humanoid robot manipulations; and humanoids education.
Electronic negotiations are becoming an important research subject in the area of electronic commerce. Decision analysis and especially multiattributive utility theory play an important role for the support of electronic negotiations. The preferences are usually represented as a utility function on the set of alternatives such that the user prefers an alternative exactly when it has higher utility...
The paper presents an intelligent supervision system to optimize and control the work piece size during cylindrical grinding. The initial cylindrical grinding parameters are decided by the expert system based on neural network, Multi-feed and setting overshoot optimization methods are adopted in adaptation control subsystem, a variable parameter optimization adaptive control strategy is proposed in...
In this paper, we validate the extended neglect tolerance model for estimation of human robot team performance in relation to robot autonomy and compare its results with the traditionally adopted neglect tolerance model which assumes zero false alarms in human robot interactions. Extended neglect tolerance model estimates robot performance in human robot teams, where the human operator switches control...
This paper represents the basics of robotics in the context of artificial intelligence and provides solution in future trend in robotics. It describes the very basics of robotics like sensors and actuators, gives an overview on robotic history and introduces some basic problems encountered in modern robotics. It describes possible solutions to those problems without going deeply into theory. The problems...
The prime objective of this Research is the development of effective reading skills in Machines. After reading the text and comprehending the meaning, it would self-program itself and according to the program it would implement the instructions. Here we are exploring a new era of computer vision and related Research. The current investigation presents an algorithm and software which detects, recognizes...
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