Jeffrey W. Tweedale

Embedded Automation in Human-Agent Environment

This research book proposes a general conceptual framework for the development of automation in human-agents environments that will allow human- agent teams to work effectively and efficiently. We examine various schemes to implement artificial intelligence techniques in agents. The text is directed to the scientists, application engineers, professors and students of all disciplines, interested in the agency methodology and applications.

Problem Solving Workshop

In this chapter we work through a number of techniques raised in previous chapters. Each of the examples is accompanied with a brief explanation, although the syntax within some listings have been abbreviated to simplify the description.We introduced both static and dynamic methods associated with deriving results. A number of algorithms are then explained before discussing the MVC pattern associated with the Sudoku solver application.

Knowledge-Based Information Systems in Practice

This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.

Advanced Techniques for Knowledge Engineering and Innovative Applications

This book constitutes the thoroughly refereed proceedings of the 16th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 21 revised papers were carefully reviewed and selected from 254 submissions. Topics of interest include the exploitation of AI techniques, most recent research in information technologies and dynamic ontologies.

Innovation in Modern Artificial Intelligence

This chapter defines the related terms for this topic and key issues surrounding the evolution of the science supporting the CI domain, together with an introduction of several of the tools and training practices developed to support the research in this area.World war two introduced many new technologies and expanded the engineering domain so rapidly that any impediments in a specific research topics were being abandoned in favor of more productive exploits. Over half a century has passed and we are still using the same fundamental computing architectures. Many disciplines have contributed to the development of agents, threads and component architecture. This chapter briefly discusses many of the key developments in CI and their relationship to this book.

Agent Oriented Programming

An agentmay be described as anything physical, synthetic or coded that is perceived of being capable of interacting upon an environment. A human agent would be seen to have sensors (eyes, ears, and other organs) to create percepts of the environment and effectors (hands, legs, mouth, and other body parts) to act upon the environment. A robotic agent may substitute cameras or other sensors to perceive the current situation, while various mechanised attachments could be used to effect some action within that environment. When defining an agent, researchers describe the properties it should exhibit. The first property is autonomy,which means operating without the direct intervention of humans. Second is social ability which describes the ability to interact with other agents, agent applications and/or even humans. Third is reactivity, which includes a means of perceiving the environment and responding to any changes that occur within it at a given point in time. Finally, pro-activeness means exhibiting goal-directed behavior [407]. There are many architectures domains of influences and technologies that embody agent systems. When implemented as a system, agents are capable of achieving highly sophisticated goals autonomously and if written correctly,will continue to find a solution until the goal is complete. This chapter investigates how agents architectures evolved, the level of control, construction and mobility. Discussion continues to explore communications, how data is passed or concepts merged and the technologies used.

Enhancing Avionics Systems Reliability and Maintainability through Development of IDSS - A Systems Approach

This research paper reports the work performed to improve reliability and maintainability of avionics systems using an intelligent decision support system (IDSS). The research takes on a systems approach to integrate information from a maintenance management system (MMS), logistic management system (LMS) and engineering management system (EMS). In order to understand the shortcomings of the existing system, the prevalent practices and methodologies are researched. The paper reports the significant improvements made by integrating autonomous information sources as knowledge into the IDSS.

Teaming Humans and Intelligent Agents

This chapter describes initial research into intelligent agents using the Beliefs-Desires-Intentions (BDI) architecture in a human-machine teaming environment. The potential for teaming applications of intelligent agent technologies based on cognitive principles will be examined

Research Directions in Automation

This chapter presents a brief introduction to existing research in Knowledge-Based engineering to achieve automation using IAs. It defines how the term intelligence is determined and the tools used to exploit human machine interaction. So what is Intelligence, why use AI and which architecture provides the best choice of tools. A whole field of science has developed around AI and is based predominantly on computer technology and the enhancements used to develop their capability. The literature illustrates the evolution of the key sciences used to support AI and distinguishes between human, machine and the architectures required to solve problems. Disruptions in developing AI techniques bounded with insertion of new technology, but most were focused on commercial applications, other than niche domains like AI.

Agent System Frameworks

This chapter briefly discusses how technology evolved during the computer evolution, followed by types of agent architectures that have surfaced and how they are being used in modern systems. A brief description concludes with a discussion of future trends.