Intelligent agent based framework for manufacturing systems control

2002 ◽  
Vol 32 (5) ◽  
pp. 560-573 ◽  
Author(s):  
S.S. Heragu ◽  
R.J. Graves ◽  
Byung-In Kim ◽  
A. St Onge
Keyword(s):  
Manufacturing Systems ◽  
Intelligent Agent ◽  
Agent Based ◽  
Systems Control

scholarly journals Predicate-Based Model of Problem-Solving for Robotic Actions Planning

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3044
Author(s):  
Oleksandr Tsymbal ◽  
Paolo Mercorelli ◽  
Oleg Sergiyenko
Keyword(s):  
Problem Solving ◽  
Set Theory ◽  
Manufacturing Systems ◽  
Intelligent Agent ◽  
Adaptive Strategies ◽  
Point Of View ◽  
Logical Model ◽  
Agent Based ◽  
Dynamic Structures ◽  
Robotic Applications

The aim of the article is to describe a predicate-based logical model for the problem-solving of robots. The proposed article deals with analyses of trends of problem-solving robotic applications for manufacturing, especially for transportations and manipulations. Intelligent agent-based manufacturing systems with robotic agents are observed. The intelligent cores of them are considered from point of view of ability to propose the plans of problem-solving in the form of strategies. The logical model of adaptive strategies planning for the intelligent robotic system is composed in the form of predicates with a presentation of data processing on a base of set theory. The dynamic structures of workspaces, and a possible change of goals are considered as reasons for functional strategies adaptation.

scholarly journals Model of Problem Solving for Robotic Actions Planning

2021 ◽  
Author(s):  
Oleksandr Tsymbal ◽  
Paolo Mercorelli
Keyword(s):  
Problem Solving ◽  
Data Processing ◽  
Set Theory ◽  
Manufacturing Systems ◽  
Intelligent Agent ◽  
Dynamic Structure ◽  
Adaptive Strategies ◽  
Robotic Platform ◽  
Agent Based ◽  
Robotic Applications

Proposed article deals with analyses on trends of problem-solving robotic applications in manu-facturing, especially in transportations and manipulations. Intelligent agent-based manufacturing systems with robotic agents are observed. Intelligent core of such units must be able to propose the plan of problem-solving in form of strategy. The logical model of adaptive strategies planning for intelligent robotic system is described in form of predicates with presentation of data processing on base of set theory descriptions. Dynamic structure of workspace and possible change of goals are considered as reasons for functional strategies adaptation. Proposed formal descriptions are sup-ported by model of mobile robotic platform, acting in warehouse.

scholarly journals Black-Box-Based Mathematical Modelling of Machine Intelligence Measuring

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 681
Author(s):  
László Barna Iantovics
Keyword(s):  
Problem Solving ◽  
Scientific Literature ◽  
Real Life ◽  
Intelligent Agent ◽  
Difficult Problem ◽  
Black Box ◽  
Machine Intelligence ◽  
Agent Based ◽  
Np Hard Problem ◽  
Box Method

Current machine intelligence metrics rely on a different philosophy, hindering their effective comparison. There is no standardization of what is machine intelligence and what should be measured to quantify it. In this study, we investigate the measurement of intelligence from the viewpoint of real-life difficult-problem-solving abilities, and we highlight the importance of being able to make accurate and robust comparisons between multiple cooperative multiagent systems (CMASs) using a novel metric. A recent metric presented in the scientific literature, called MetrIntPair, is capable of comparing the intelligence of only two CMASs at an application. In this paper, we propose a generalization of that metric called MetrIntPairII. MetrIntPairII is based on pairwise problem-solving intelligence comparisons (for the same problem, the problem-solving intelligence of the studied CMASs is evaluated experimentally in pairs). The pairwise intelligence comparison is proposed to decrease the necessary number of experimental intelligence measurements. MetrIntPairII has the same properties as MetrIntPair, with the main advantage that it can be applied to any number of CMASs conserving the accuracy of the comparison, while it exhibits enhanced robustness. An important property of the proposed metric is the universality, as it can be applied as a black-box method to intelligent agent-based systems (IABSs) generally, not depending on the aspect of IABS architecture. To demonstrate the effectiveness of the MetrIntPairII metric, we provide a representative experimental study, comparing the intelligence of several CMASs composed of agents specialized in solving an NP-hard problem.

scholarly journals Ant Colony Intelligence in Flexible Manufacturing Scheduling Using Contract-Net Model

2011 ◽  
Vol 2-3 ◽  
pp. 608-613
Author(s):  
Ying Zi Wei ◽  
Yi Jun Feng ◽  
Kan Feng Gu
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Ant Colony ◽  
Contract Net Protocol ◽  
Agent Based ◽  
Contract Net ◽  
Multi Agent ◽  
Bidding Mechanism ◽  
Alternative Processes ◽  
Alternative Machines

This paper builds an efficient agent-based flexible scheduling for real-world manufacturing systems. Considering the alternative processes and alternative machines, the allocation of manufacturing resources is achieved through negotiation among the job and machine agents in a multi-agent system (MAS). Ant Colony Intelligence (ACI) is proposed to be combined with Contract Net Protocol (CNP) so as to make agents adaptive to changing circumstances. ACI is integrated into both machine agents and job agents to solve the task allocation and sequencing problem. CNP is introduced to allow the agents to cooperate and coordinate their local schedules in order to find globally near-optimal robust schedules. The negotiation protocol is an interactive bidding mechanism based on the hybrid contract net protocol. The implementation of the issues using CNP model is discussed. Experimental results verify the effectiveness and efficiency of the proposed algorithm integrated with ant-inspired coordination.

An ontology, intelligent agent-based framework for the provision of semantic web services

2009 ◽  
Vol 36 (2) ◽  
pp. 3167-3187 ◽  
Author(s):  
Francisco García-Sánchez ◽  
Rafael Valencia-García ◽  
Rodrigo Martínez-Béjar ◽  
Jesualdo T. Fernández-Breis
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Intelligent Agent ◽  
Semantic Web Services ◽  
Agent Based
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