Flexible Exception Handling in a Multi-Agent Enactment Model for Knowledge-Intensive Processes

2006 ◽  
Author(s):  
H. Brocks ◽  
H. Meyer ◽  
T. Kamps
Keyword(s):  
Exception Handling ◽  
Multi Agent ◽  
Knowledge Intensive

A Multi-Agent Knowledge Management System for Reactive and Proactive Knowledge Supply

2012 ◽  
pp. 203-218 ◽  
Author(s):  
Carlos M. Toledo ◽  
Omar Chiotti ◽  
María R. Galli
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Business Processes ◽  
Workflow Management ◽  
Agent Based ◽  
Workflow Pattern ◽  
Structured Information ◽  
Multi Agent ◽  
Management Approaches ◽  
Knowledge Intensive

This chapter presents an agent-based architecture for integrating organizational knowledge repositories and business processes orchestrated by a workflow management system. This architecture proactively provides relevant knowledge to workflow tasks considering their context, and stores the information generated by its execution for future requirements. It describes components of the architecture, models a multi-agent system that enables the integration, presents a strategy to annotate and retrieval knowledge of non-structured information sources, and defines a new workflow pattern to be used in knowledge intensive tasks in order to make possible the knowledge provision. This architecture allows workers to count, in a proactive way, with all necessary information for the task executions without suspending their activities to retrieve information scattered in the organization. It reduces the wasted time in manual knowledge searches included in mostly knowledge management approaches.

A Multi-Agent Intelligent Environment for Rapid Assembly Design, Planning and Simulation

2004 ◽  
Author(s):  
Xuan F. Zha ◽  
Ling L. Li ◽  
Samuel Y. E. Lim
Keyword(s):  
Assembly System ◽  
Case Based Reasoning ◽  
Multi Agent Systems ◽  
Knowledge Modeling ◽  
Intelligent Environment ◽  
Analysis And Design ◽  
Assembly Design ◽  
Multi Agent ◽  
Design Planning ◽  
Knowledge Intensive

This paper presents a knowledge-intensive concurrent integration framework for designing, planning, analysis and simulation of assemblies, which is built upon P/T nets and multi-agent systems in AI. In the paper, critical issues are addressed on the implementation of intelligent assembly modeling, analysis and design, planning and simulation using knowledge intensive P/T net models, e.g., knowledge modeling and acquisition, function-behavior-structure modeling, fuzzy relational database, case-based reasoning, and assembly design language, etc. The developed multi-agent intelligent environment, RAPID Assembly system, can process various types of knowledge in assembly design, process and task planning, and assembly system design and simulation so that intelligent design, planning and simulation can be implemented in a virtual environment. It assists designers and manufacturing engineers to design and evaluate the product and its assembly processes and assembly systems (e.g., assembly feasibility, sequences, trajectories, and execution strategies) without building physical prototypes. Design cases are provided to illustrate how the system works.

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