Interactive conversation agents or CAs are computer programs or application software designed to simulate conversation with one or more human users in natural language. Providing CAs with knowledge, intelligence and humanoid interface has allowed them to be used in several practical applications. This paper presented the development and its performance of the interactive CAs called Artificial I...

The objective of this special session is to analyze the modus operandi of the intelligent systems from the point of view of the limitations between the machine and the human. In case of creating artificial intelligence like human intelligence, where will be the edge between human being and the intelligent hardware and software with artificial intellect? In this topic we present the following re...

Human beings have the real intelligence. The intelligence triggers new thoughts in mind. Human thoughts so many things but he may take long times to solve a complex problem. If he builds such a system which work as like human intelligence, then the time taken to solve the complex problem may be very less. In this case he provides the Artificial Intelligence (AI) to the system. Artificial intell...

Action selection is a way of characterizing the most basic problem of intelligent systems: what to do next. In artificial intelligence and computational cognitive science, the action selection problem is typically associated with intelligent agents and animats – artificial systems that exhibit complex behaviour in an agent environment. The term is also sometimes used in ethology or animal behav...

This is a review paper which sets the scene by defining some fundamental concept, such as intelligence and intelligent systems, and then discusses current trends in applications of artificial intelligence in engineering. The author reviews five key paradigms of artificial intelligence in engineering: knowledge-based systems, neural networks, genetic algorithms, fuzzy logic and intelligent agents.

Artificial Intelligence (AI) encompasses the following general areas of research: (1) automatic programming, (2) computer vision, (3) expert systems, (4) intelligent computer-assisted instruction, (5) natural language processing, (6) planning and decision support, (7) robotics, and (8) speech recognition. Intelligent library systems utilize artificial intelligence technologies to provide knowle...

Recent advances in Natural Language Processing (NLP) and Artificial Intelligence (AI) in general have advances this field in realizing the vision of a more humanoid interactive system with embodied conversation agent (ECA). This paper presented our development of the ECA called Artificial Intelligent Natural-language Identity or AINI. In this paper, we also present and discuss the use of such E...

The original vision of AI was to develop intelligent artifacts with the same broad range of capabilities as we observe in humans. None of the field’s early programs achieved this lofty goal, but the tone of many seminal papers makes this motivation very clear. When we entered graduate school at Carnegie Mellon University in the mid 1970s, this aim was a central tenet of many researchers in the ...

This demo paper describes our Artificial Intelligent Dialogue Agent (AIDA), a dialogue management and orchestration platform under development at the Institute for Infocomm Research. Among other features, it integrates different human-computer interaction engines across multiple domains and communication styles such as command, question answering, task-oriented dialogue and chat-oriented dialog...

In many studies of market microstructure, theoretical analysis quickly becomes intractable for all but the simplest stylized models. This thesis considers two alternative approaches, namely, the use of experiments with human subjects and simulations with intelligent agents, to address some of the limitations of theoretical modeling. The thesis aims to study the design, development and character...