Agent-based approach for analysis and design of open giant intelligent systems

2005 ◽  
Author(s):  
Longbing Cao ◽  
Ruwei Dai
Keyword(s):  
Intelligent Systems ◽  
Agent Based ◽  
Analysis And Design

Neural Networks and Fuzzy Logic in Electrical Engineering Control Courses

2003 ◽  
Vol 40 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Francisco Jurado ◽  
Antonio Caño ◽  
Manuel Ortega
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Intelligent Systems ◽  
Fuzzy Logic Controllers ◽  
Analysis And Design ◽  
Modelling Analysis ◽  
Systems And Control ◽  
And Control ◽  
Theoretical Developments ◽  
Logic Controllers

Control system education must include experimental exercises that complement the theory presented in lectures. These exercises include modelling, analysis and design of a control system. Key concepts and techniques in the area of intelligent systems and control have been discovered and developed over the past few decades. While some of these methods have significant benefits to offer, engineers are often reluctant to utilise new intelligent control techniques, for several reasons. In this paper fuzzy logic controllers have been developed using speed and mechanical power deviations, and a neural network has been designed to tune the gains of the fuzzy logic controllers. Student feedback indicates that theoretical developments in lectures on control systems were only appreciated after the laboratory exercises.

On the Design of Multiagent, Context-Aware, and Mobile Systems

2009 ◽  
pp. 357-370 ◽  
Author(s):  
Tagelsir M. Gasmelseid
Keyword(s):  
Software Engineering ◽  
Multiagent Systems ◽  
Context Awareness ◽  
Intelligent Systems ◽  
Mobile Systems ◽  
Service Availability ◽  
Context Aware ◽  
Analysis And Design ◽  
Engineering Practices ◽  
Decision Environments

This chapter addresses the software engineering dimensions associated with the development of mobile and context-aware multiagent systems. It argues that despite the growing deployment of such systems in different application domains little has been done with regards to their analysis and design methodologies. The author argues that the introduction of mobility and context awareness raises three main challenges that deserve a paradigm shift: the challenge of information integrity, service availability on mobile devices, and the complexity of decision modeling. Because they reflect different operational and procedural dimensions, the author argues that the conventional software engineering practices used with intelligent systems that possess other agency qualities need to be “re-engineered.” The chapter emphasizes that the envisioned methodology should reflect a thorough understanding of decision environments, domains epresentation, and organizational and decision-making structures. Furthermore, the chapter provides a description for the appropriate enablers necessary for integrated implementation.

scholarly journals Agent-Oriented Software Engineering Methodologies: Analysis and Future Directions

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Reem Abdalla ◽  
Alok Mishra
Keyword(s):  
Software Engineering ◽  
Evaluation Method ◽  
Unified Modeling Language ◽  
Agent Based ◽  
Unified Modeling ◽  
Analysis And Design ◽  
Agent Oriented Software Engineering ◽  
Study Evaluation ◽  
Simulation Paradigm

The Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. Agent-based computing represents effective modeling, programming, and simulation paradigm to develop IoT systems. Agent concepts, techniques, methods, and tools are being used in evolving IoT systems. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. Yet a comprehensive and full-fledged agent approach for developing related projects is still lacking despite the presence of agent-oriented software engineering (AOSE) methodologies. One of the moves towards compensating for this issue is to compile various available methodologies, ones that are comparable to the evolution of the unified modeling language (UML) in the domain of object-oriented analysis and design. These have become de facto standards in software development. In line with this objective, the present research attempts to comprehend the relationship among seven main AOSE methodologies. More specifically, we intend to assess and compare these seven approaches by conducting a feature analysis through examining the advantages and limitations of each competing process, structural analysis, and a case study evaluation method. This effort is made to address the significant characteristics of AOSE approaches. The main objective of this study is to conduct a comprehensive analysis of selected AOSE methodologies and provide a proposal of a draft unified approach that drives strengths (best) of these methodologies towards advancement in this area.

scholarly journals Escape from the factory of the robot monsters: agents of change

2017 ◽  
Vol 23 (1/2) ◽  
pp. 96-108 ◽  
Author(s):  
Dale Richards
Keyword(s):  
Human Computer Interaction ◽  
Human Factors ◽  
Intelligent Systems ◽  
Autonomous Agents ◽  
Content Type ◽  
Team Members ◽  
Agent Based ◽  
Delegation Of Authority ◽  
Human Agent ◽  
Computer Interaction

Purpose The increasing use of robotics within modern factories and workplaces not only sees us becoming more dependent on this technology but it also introduces innovative ways by which humans interact with complex systems. As agent-based systems become more integrated into work environments, the traditional human team becomes more integrated with agent-based automation and, in some cases, autonomous behaviours. This paper discusses these interactions in terms of team composition and how a human-agent collective can share goals via the delegation of authority between human and agent team members. Design/methodology/approach This paper highlights the increasing integration of robotics in everyday life and examines the nature of how new novel teams may be constructed with the use of intelligent systems and autonomous agents. Findings Areas of human factors and human-computer interaction are used to discuss the benefits and limitations of human-agent teams. Research limitations/implications There is little research in (human–robot) (H–R) teamwork, especially from a human factors perspective. Practical implications Advancing the author’s understanding of the H–R team (and associated intelligent agent systems) will assist in the integration of such systems in everyday practices. Social implications H–R teams hold a great deal of social and organisational issues that need further exploring. Only through understanding this context can advanced systems be fully realised. Originality/value This paper is multidisciplinary, drawing on areas of psychology, computer science, robotics and human–computer Interaction. Specific attention is given to an emerging field of autonomous software agents that are growing in use. This paper discusses the uniqueness of the human-agent teaming that results when human and agent members share a common goal within a team.

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