Requirement Driven Agent Collaboration Based on Functional Ontology and AMD

Author(s):  
Liwei Zheng ◽  
Zhi Jin
Keyword(s):  

2015 ◽  
Vol 30 (1) ◽  
pp. 82-111 ◽  
Author(s):  
Sarvapali D. Ramchurn ◽  
Feng Wu ◽  
Wenchao Jiang ◽  
Joel E. Fischer ◽  
Steve Reece ◽  
...  


2021 ◽  
Vol 13 (11) ◽  
pp. 6209
Author(s):  
Leire Gartzia

Critical to social sustainability and organizations’ growth, at present, is gender equality. Yet, egalitarian principles are difficult to apply in the practice, particularly in private firms. Acknowledging previous calls that research should respond to these concerns and support practitioners, we provide a theory-grounded conceptual framework to address change management in this field, aimed at providing applicable guidelines in the organizational practice. Integrating utilitarian and social justice perspectives about gender action, we call for multi-agent collaboration involving coordinated action from policymakers, private firms and gender experts. We provide an overview of how public policies and legislation guide organizational action by providing key statutory norms and procedures. We then address the relevance of organizational commitment and the alignment of gender goals with the organizational strategy and decision-making, involving managers. Finally, we underscore the benefits of implementing evidence-based action based on academic and consultancy collaboration. The implementation of these principles is illustrated with a multi-agent practice developed in the Basque Country (Spain) between gender equality change agents, suited to apply academic principles to real-world organizational practices. Recommendations for gender equality and corporate social action are provided.



1996 ◽  
Vol 05 (02n03) ◽  
pp. 181-211 ◽  
Author(s):  
KATIA SYCARA ◽  
DAJUN ZENG

We are investigating techniques for developing distributed and adaptive collections of information agents that coordinate to retrieve, filter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types of agents: Interface agents interact with the user receiving user specifications and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We have implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making, investment counseling, health care and electronic commerce.



1994 ◽  
Vol 9 (1) ◽  
pp. 39-52 ◽  
Author(s):  
Nicholas V. Findler ◽  
Uttam K. Sengupta


2002 ◽  
Vol 15 (8) ◽  
pp. 485-491 ◽  
Author(s):  
Dongming Xu ◽  
Huaiqing Wang


Author(s):  
Rachel K. E. Bellamy ◽  
Sean Andrist ◽  
Timothy Bickmore ◽  
Elizabeth F. Churchill ◽  
Thomas Erickson


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