scholarly journals Too Many Cooks: Bayesian Inference for Coordinating Multi‐Agent Collaboration

2021 ◽  
Author(s):  
Sarah A. Wu ◽  
Rose E. Wang ◽  
James A. Evans ◽  
Joshua B. Tenenbaum ◽  
David C. Parkes ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Agent Collaboration ◽  
Multi Agent

scholarly journals Gender Equality in Business Action: A Multi-Agent Change Management Approach

2021 ◽  
Vol 13 (11) ◽  
pp. 6209
Author(s):  
Leire Gartzia
Keyword(s):  
Change Management ◽  
Gender Equality ◽  
Social Action ◽  
Basque Country ◽  
Management Approach ◽  
Private Firms ◽  
Agent Collaboration ◽  
Multi Agent ◽  
And Gender ◽  
Corporate Social

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.

Multi-agent collaboration in time-constrained domains

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

Multi-agent collaboration for B2B workflow monitoring

2002 ◽  
Vol 15 (8) ◽  
pp. 485-491 ◽  
Author(s):  
Dongming Xu ◽  
Huaiqing Wang
Keyword(s):  
Agent Collaboration ◽  
Workflow Monitoring ◽  
Multi Agent

Achieving Realism in 3D Interactive Systems

2011 ◽  
pp. 205-215
Author(s):  
Arman Gukasyan ◽  
Nadezhda Ilyina ◽  
Alexander Lavrov
Keyword(s):  
Virtual Worlds ◽  
New Technologies ◽  
Interactive Systems ◽  
Agent Collaboration ◽  
New Business ◽  
The Face ◽  
3D Environments ◽  
Multi Agent ◽  
Early Development Phase ◽  
The Many

Web 2.0 has demonstrated how new technologies can change the structure of the customer-provider relationship. This is evident in the many new business opportunities that have arisen including the growth of 3D environments and virtual worlds. The development of more specialized services and consumer integration creates new marketplaces with new rules of the game. As these new opportunities come to the scene, they will change the face of the world into 3D environments and a multi-agent collaboration. The adoption of virtual worlds depends a great deal on the user experience. The challenges of providing the user with virtual realism is a challenge as many supporting technologies are still in the early development phase. This chapter will discuss several of the issues and tradeoffs involved in developing Real Virtual Worlds.

Semantic Interoperability of Geospatial Services

2010 ◽  
pp. 400-421
Author(s):  
Iftikhar U. Sikder ◽  
Santosh K. Misra
Keyword(s):  
Spatial Reasoning ◽  
Spatial Information ◽  
Resource Integration ◽  
Semantic Level ◽  
Collaborative Modeling ◽  
Multiple Data ◽  
Agent Interaction ◽  
Agent Collaboration ◽  
Multi Agent ◽  
Geospatial Services

This article proposes a multi-agent based framework that allows multiple data sources and models to be semantically integrated for spatial modeling in business processing. The paper reviews the feasibility of ontology-based spatial resource integration options to combine the core spatial reasoning with domainspecific application models. We propose an ontology-based framework for semantic level communication of spatial objects and application models. We then introduce a multi-agent system, ontology-based spatial information and resource integration services (OSIRIS), to semantically interoperate complex spatial services and integrate them in a meaningful composition. The advantage of using multi-agent collaboration in OSIRIS is that it obviates the need for end-user analysts to be able to decompose a problem domain to subproblems or to map different models according to what they actually mean. We also illustrate a multi-agent interaction scenario for collaborative modeling of spatial applications using the proposed custom feature of OSIRIS.

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