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Knowledge-intensive collaborative decision support for design processes: A hybrid decision support model and agent

Xuan F. Zha, Ram D. Sriram, Marco G. Fernandez, Farrokh Mistree
2008 Computers in industry (Print)  
This paper presents a hybrid robust decision support model and framework for the seamless integration of collaborative product development with optimal product performance.  ...  The application for the concept evaluation and selection in design for mass customization is provided.  ...  The core of the framework is the hybrid robust decision support agent developed by integrating the cDSP model, the FSD model, the design process model, and the knowledge capture and management model.  ... 
doi:10.1016/j.compind.2008.07.009 fatcat:f3tmeuug5vbzvazhbqbwr5y64u

An Empirical Agent-Based Model for Regional Knowledge Creation in Europe

Martina Neuländtner
2020 ISPRS International Journal of Geo-Information  
With first exemplary applications, we demonstrate the potential of the model in terms of its robustness and empirical closeness.  ...  Specifically, we account for region-internal characteristics, and a specific embedding in the system of region-internal and region-external R&D collaboration linkages.  ...  value of either agent in the collaboration partnership is used for the evaluation of the research success, and hence, increasing the probability of success.  ... 
doi:10.3390/ijgi9080477 fatcat:5k4wwatrozh3nbxaboexrcaxz4

Towards Robust Service Workflows: A Decentralized Approach [chapter]

Mario Henrique Cruz Torres, Tom Holvoet
2011 Lecture Notes in Computer Science  
We evaluate our solution through simulations and show that it can create robust service compositions.  ...  We present a fully decentralized coordination mechanism that, using the local knowledge available at each company participating in the supply chain, allows the enactment of robust processes.  ...  . , a n } is the set of agents representing partner companies, and C ⊆ A × A is the set of connections between agents.  ... 
doi:10.1007/978-3-642-25109-2_11 fatcat:uwrye42nj5hxtojcbiuanetljm

C-index

Weigang Wang, Mohd Mokhtar, Linda Macaulay
2008 Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence - WebScience '08  
Many computational trust models measure collective trust or reputation by the total number or the percentage of (pure) positive feedback a collaborator received from a community.  ...  Scenarios are provided to show how the C-index might be used for identifying and selecting collaborative partners.  ...  Therefore in order to establish collaboration between the potential partners; the evaluator agent/person a ev will evaluate a number of potential collaborators a pc in the community.  ... 
doi:10.1145/1379157.1379161 fatcat:bkjzjymtdfgwfk4krfdxsihg5m

A Robust Decision-Making Framework Based on Collaborative Agents

Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2020 IEEE Access  
Hence, the proposed framework is capable of performing independent and real-time "local" DM by each agent but also allows for a robust "collaborative" DM process in which each agent aggregates the measure  ...  Decision made at a local level, i.e. individually by each agent via the implemented LDM system, need to be shared so that each agent is capable of collaboratively make a more robust decision via its CDM  ... 
doi:10.1109/access.2020.3016784 fatcat:kswzllu6x5achd24zj4amchghq

Collaborative Behavior Models for Optimized Human-Robot Teamwork [article]

Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan Ratliff
2020 arXiv   pre-print
while predicting the actions of its external collaborators.  ...  In this work, we describe a novel Model Predictive Control (MPC)-based framework for finding optimal trajectories in a collaborative, multi-agent setting, in which we simultaneously plan for the robot  ...  TABLE TABLE II : II Robustness metrics: we evaluate our robustness to measurement noise by determining, for a given amount of measurement noise, the percentage of handovers that can be completed within  ... 
arXiv:1910.04339v2 fatcat:gg4qlehnwfc2nd2btsbzr5dtzu

Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration [article]

Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese
2021 arXiv   pre-print
the robot policy learns to assist by estimating the unobserved latent strategy of its human collaborator.  ...  Across a 2D strategy game, a human-robot handover task, and a multi-step collaborative manipulation task, our method outperforms the alternatives in both simulated evaluations and when executing the tasks  ...  Acknowledgments Chen Wang thanks Lihua Wang and Zhongqing Zhen for helping with the development of the data collection system.  ... 
arXiv:2108.06038v1 fatcat:kt5ajarf4bbk3bp6hjsfyadm7m

Time-informed task planning in multi-agent collaboration

Michail Maniadakis, Emmanouil Hourdakis, Panos Trahanias
2017 Cognitive Systems Research  
In such setups, the timing of actions may significantly affect collaborative performance.  ...  In particular, by considering the properties of the available options at the given moment, the planner accomplishes locally optimal task assignments to agents.  ...  Acknowledgment The current work was partially supported by the EU FET Proactive grant (GA: 641100) TIMESTORM -Mind and Time: Investigation of the Temporal Traits of Human-Machine Convergence.  ... 
doi:10.1016/j.cogsys.2016.09.004 fatcat:nlf63tgjyvdvrbno6tb62tjrqu

ETAPP: A Collaboration Framework That Copes with Uncertainty Regarding Team Members [chapter]

Christian Guttmann
2005 Lecture Notes in Computer Science  
-Decentralize the evaluation of performance.  ...  -A collaboration framework which offers novel contributions. • A probabilistic representation of agent performance in terms of the evaluation criteria of a task (such as time or quality). • Cost functions  ... 
doi:10.1007/11527886_70 fatcat:ytdhyfzl5rf6de7ha745232lca

Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection

Carol Fung, Jie Zhang, Issam Aib, Raouf Boutaba
2010 Journal of Network and Systems Management  
The trust model further improves the robustness of the collaborative system against malicious attacks.  ...  The accuracy of detecting an intrusion within a network of intrusion detection systems (IDSes) depends on the efficiency of collaboration between member IDSes.  ...  People in multi-agent systems have also been developing trust models to evaluate the trustworthiness of buying and selling agents for the application of e-marketplaces [8] .  ... 
doi:10.1007/s10922-010-9176-7 fatcat:gwpn2tl37vbgzhbaili5mtx2d4

Collaborating with Humans without Human Data [article]

DJ Strouse, Kevin R. McKee, Matt Botvinick, Edward Hughes, Richard Everett
2022 arXiv   pre-print
Here, we study the problem of how to train agents that collaborate well with human partners without using human data.  ...  While such an approach can improve the generalization of agents to new human co-players, it involves the onerous and expensive step of collecting large amounts of human data first.  ...  , and Saffron Huang for support in evaluating agents with humans; and Max Kleiman-Weiner, Natasha Jaques, Marc Lanctot, Mike Bowling, and Dan Roberts for useful discussions.  ... 
arXiv:2110.08176v2 fatcat:rcw23swzvnbqjl36bhgmipwer4

Behavioural Evaluation of Reputation-Based Trust Systems [chapter]

Sini Ruohomaa, Lea Kutvonen
2013 Lecture Notes in Business Information Processing  
In the field of trust and reputation systems research, there is a need for common and more mature evaluation metrics for the purpose of producing meaningful comparisons of system proposals.  ...  In the state of the art, evaluations are based on simulated comparisons of how quickly negative reputation reports spread in the network or which decision policy gains more points against others in a specific  ...  This research has been performed in the Collaborative and Interoperable Computing (CINCO) group at the University of Helsinki, Department of Computer Science.  ... 
doi:10.1007/978-3-642-36796-0_14 fatcat:jvrq6lebtjckrjznjr5qpqmb3y

Dirichlet-Based Trust Management for Effective Collaborative Intrusion Detection Networks

Carol J Fung, Jie Zhang, Issam Aib, Raouf Boutaba
2011 IEEE Transactions on Network and Service Management  
The accuracy of detecting intrusions within a Collaborative Intrusion Detection Network (CIDN) depends on the efficiency of collaboration between peer Intrusion Detection Systems (IDSes) as well as the  ...  We evaluate our approach based on a simulated CIDN, demonstrating its improved robustness, efficiency and scalability for collaborative intrusion detection in comparison with other existing models.  ...  the Korea Science and Engineering Foundation funded by the Ministry of Education, Science and Technology (Project No.  ... 
doi:10.1109/tnsm.2011.050311.100028 fatcat:ucatq3xgxvbo3gixash64os66q

What can be done to Automate Conceptual Simulation Modeling?

Ming Zhou, Qun Zhang, Zhimin Chen
2006 Proceedings of the 2006 Winter Simulation Conference  
This paper presents a discussion of these issues based on the research by the authors, and propose suggestions for the design and development of a robust computerized modeling environment that aims to  ...  Automation can help improve the efficiency and effectiveness of conceptual simulation modeling.  ...  the use of specialized collaborative agents can be considered.  ... 
doi:10.1109/wsc.2006.323162 dblp:conf/wsc/ZhouZC06 fatcat:f7u7rfhn5zhqfn6fg4hc3s6bf4

Collaborative Visual Inertial SLAM for Multiple Smart Phones [article]

Jialing Liu, Ruyu Liu, Kaiqi Chen, Jianhua Zhang, Dongyan Guo
2021 arXiv   pre-print
The cooperation of multiple smart phones has the potential to improve efficiency and robustness of task completion and can complete tasks that a single agent cannot do.  ...  However, it depends on robust communication, efficient location detection, robust mapping, and efficient information sharing among agents.  ...  Precision evaluation of single agent mapping To evaluate the accuracy of our proposed system, we first evaluate the absolute trajectory error (ATE) of the keyframe trajectory.  ... 
arXiv:2106.12186v1 fatcat:eqz77zdyvzhnzmggz4wckevvlq
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