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Human-robot teaming

Terrance M. Tierney, William J. Protzman, Brian Samples, Grant R. Gerhart, Charles M. Shoemaker, Douglas W. Gage
2005 Unmanned Ground Vehicle Technology VII  
The intent of this program is to develop and demonstrate an intelligent scaleable interface for mounted and dismounted control of ground and air unmanned systems.  ...  Currently in the Army there are unique interfaces developed by engineers for each unmanned system fielded.  ...  For the HRI program, TARDEC is analyzing the application of the Soar architecture for cognitive modeling and for translation of cognitive behaviors to decision aiding agents to control autonomous unmanned  ... 
doi:10.1117/12.607330 fatcat:itvez3o4knewfdloetbbb3rr2y

A proposed open cognitive architecture framework

Jeffrey S. Steinman, Craig N. Lammers, Maria E. Valinski
2009 Proceedings of the 2009 Winter Simulation Conference (WSC)  
This new cognitive architecture framework is combined with the Open Modeling and Simulation Architecture (OpenMSA) and the Open System Architecture for Modeling and Simulation (OSAMS) to form the foundation  ...  This paper describes a proposed general-purpose cognitive architecture known as the Open Cognitive Architecture Framework (OpenCAF) capable of representing complex intelligent behavior for a variety of  ...  The authors of this paper would finally like to thank Bob Pritchard, Program Manager of the Joint Virtual Network Centric Warfare (JVNCW) program at SPAWAR Systems Center, for encouraging the development  ... 
doi:10.1109/wsc.2009.5429287 dblp:conf/wsc/SteinmanLV09 fatcat:usdn7xzfyvgf5asp2nqhinj7cm

Using Parallel Computing to Improve the Scalability of Models with BDI Agents [chapter]

Patrick Taillandier, Mathieu Bourgais, Alexis Drogoul, Laurent Vercouter
2019 The 8th International Conference on Knowledge Management in Organizations  
However, especially in large-scale simulations, the problem of the computational time required by such complex agents is still an open issue.  ...  These extensions have allowed modelers with little knowledge in programming and artificial intelligence to develop their own cognitive agents.  ...  Acknowledgment This work is part of the ACTEUR ("Spatial Cognitive Agents for Urban Dynamics and Risk Studies") research project funded by the French National Research Agency.  ... 
doi:10.1007/978-3-030-30298-6_4 fatcat:4elkt6j2vfakzdqzihji6fjluy

Distributed Agent-Based Social Simulations: An architecture to simulate complex social phenomena on highly parallel computational environments

Marcos Alvares Barbosa, Fernando Buarque de Lima Neto
2011 2011 IEEE Symposium on Intelligent Agent (IA)  
Alternatively, modern agent-based modeling tools are being designed as discrete-event simulators. This architecture is monolithic, executes serially agent actions and have limited scalability.  ...  Aiming at the production of plausible and scalable social simulations, this research has two main goals: (i) introduction of a distributed architecture to build highly scale social simulations and (ii)  ...  EXPERIMENTS For validating the proposed architecture we built a set of experiments to verify the scalability and the quality of the produced models using distributed simulation.  ... 
doi:10.1109/ia.2011.5953615 dblp:conf/ieeeIA/BarbosaN11 fatcat:7tvgmieyfzgtpo4j7au4jlwg2q

BDI agents in social simulations: a survey

Carole Adam, Benoit Gaudou
2016 Knowledge engineering review (Print)  
This paper provides a methodological guide to the use of BDI agents in social simulations, and an overview of existing methodologies and tools for using them.  ...  Richer models were thus developed for a variety of phenomena, while agent cognition still tends to be modelled with simple reactive particle-like agents.  ...  Acknowledgements This work has been partially funded by the ACTEUR ("Spatial Cognitive Agents for Urban Dynamics and Risk Studies") research project.  ... 
doi:10.1017/s0269888916000096 fatcat:7dei2k5h4veeddgzvhnjzcesne

Cognitive Architectures and Multi-agent Social Simulation [chapter]

Ron Sun
2009 Lecture Notes in Computer Science  
Social simulation with multi-agent systems can benefit from incorporating cognitive architectures, as they provide a realistic basis for modeling individual agents (as argued in Sun 2001).  ...  In this survey, an example cognitive architecture will be given, and its application to social simulation will be sketched.  ...  Thanks are due to Isaac (Yizchak) Naveh, Xi Zhang, and Bob Mathews for their collaborations on related research.  ... 
doi:10.1007/978-3-642-03339-1_2 fatcat:htuwqfzoindx5mplkbdpsrslxy

Cognitive Social Simulation Incorporating Cognitive Architectures

Ron Sun
2007 IEEE Intelligent Systems  
Agent-based social simulation (with multi-agent systems), which is an important aspect of social computing, can benefit from incorporating cognitive architectures, as they provide a realistic basis for  ...  In this article, an example of a cognitive architecture is given, and its applications to social simulation described. Some challenging issues in this regard are outlined.  ...  Much of the simulation work described here was conducted by Isaac Naveh.  ... 
doi:10.1109/mis.2007.4338492 fatcat:ncmuvyularbbdn6dvtopa5i5vy

Smart Events and Primed Agents [chapter]

Catherine Stocker, Libo Sun, Pengfei Huang, Wenhu Qin, Jan M. Allbeck, Norman I. Badler
2010 Lecture Notes in Computer Science  
These Smart Events inform an agent of plausible actions to undertake.  ...  In our approach behavioral responses are enumerated in the representation of the event itself. These Smart Events inform an agent of plausible actions to undertake.  ...  Partial support for this effort is gratefully acknowledged from the U.S. Army "SUBTLE" MURI W911NF-07-1-0216 and the Lockheed-Martin Corporation through a Strategic Technology Thread Grant.  ... 
doi:10.1007/978-3-642-15892-6_2 fatcat:6qdtis2vo5eata3clu4l56tlzi

A Survey on Multi-robot Patrolling Algorithms [chapter]

David Portugal, Rui Rocha
2011 IFIP Advances in Information and Communication Technology  
The variety of approaches differs in various aspects such as agent type and their decision-making or the coordination and communication mechanisms.  ...  Every strategy proposed in the last decade is distinct and is normally based on operational research methods, simple and classic techniques for agent's coordination or alternative, and usually more complex  ...  Acknowledgments This work was financially supported by a PhD grant (SFRH/BD/64426/2009) from the Portuguese Foundation for Science and Technology (FCT) and the Institute of Systems and Robotics (ISR-Coimbra  ... 
doi:10.1007/978-3-642-19170-1_15 fatcat:z2x7yff3xzg2fovjxgf65kv7tu

The importance of cognitive architectures: an analysis based on CLARION

Ron Sun
2007 Journal of experimental and theoretical artificial intelligence (Print)  
In this article, discussions of issues and challenges in developing cognitive architectures will be undertaken, and an example cognitive architecture (CLARION) will be described. 1 1 This article is based  ...  In this enterprise, a cognitive architecture is a domaingeneric computational cognitive model that may be used for a broad, multiple-level, multipledomain analysis of behavior.  ...  Lukose and Zhongzhi Shi for the invitation to give a keynote talk at PRIMA'05, all of which together led to the present article.  ... 
doi:10.1080/09528130701191560 fatcat:z33vdposofd6thmmoxmf2f3sze

Experiences with the design and implementation of an agent-based autonomous UAV controller

Samin Karim, Clint Heinze
2005 Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05  
This paper reports experiences and outcomes of designing and developing an agent-based, autonomous mission control system for an unmanned aerial vehicle (UAV).  ...  This paper explores two quite different approaches for adding autonomous control to an existing UAV. Both designs were implemented using an agent-based language.  ...  For assistance with system implementation, integration and flight trials, thanks to colleagues at DSTO -Shane Dunn, Steve van der Velden, Ian Powlesland; and from AOS -Richard Jones and David Shepherdson  ... 
doi:10.1145/1082473.1082799 dblp:conf/atal/KarimH05 fatcat:myl3kj6g6zbdddngsys7xbqgqe

A Cognitive Module in a Decision-Making Architecture for Agents in Urban Simulations [chapter]

Quentin Reynaud, Etienne de Sevin, Jean-Yves Donnart, Vincent Corruble
2013 Lecture Notes in Computer Science  
This paper addresses the issue of hybridization between reactive and cognitive approaches within a single decision-making architecture for virtual agent in an urban simulation.  ...  We use a reactive module in order to manage reactive behaviors and agent autonomy, and a cognitive module for anticipation, learning and complex behaviors management.  ...  In this paper, we propose a decisional architecture for virtual agents in urban simulation.  ... 
doi:10.1007/978-3-642-36444-0_8 fatcat:h7mcq572xjdv7l2b27cpf45pqm

A Cognitive Control Architecture for an Artificial Creature using Episodic Memory

Naveen Kuppuswamy, Se-hyoung Cho, Jong-hwan Kim
2006 2006 SICE-ICASE International Joint Conference  
This paper describes a new cognitive control architecture incorporating episodic memory for the artificial creature Rity, the software robot component of the Ubibot, the ubiquitous robot system.  ...  The system is designed to enable Rity to be cognitive in its approach to task selection through the dual process of experiential and spatial learning.  ...  This paper discusses an implementation of the episodic memory for the development of cognitive control architecture for the artificial creature Sobot, Rity.  ... 
doi:10.1109/sice.2006.314799 fatcat:eyscvggjanei5nrtlbkbqzzway

A Methodology for Cognitive NoC Design

Wo-Tak Wu, Ahmed Louri
2016 IEEE computer architecture letters  
Simulation results show that the cognitive design has the potential to outperform the conventional design for large applications.  ...  The increasing number of cores will push the communication complexity level to a point where managing such highly complex systems requires much more than what designers can anticipate for.  ...  The combination of cognitive capabilities and architectural design makes CogNoC a promising approach to address challenging issues effected in ever increasingly complex systems.  ... 
doi:10.1109/lca.2015.2447535 fatcat:rtunsgirvjbmhcsyilibqxxtfi

A Self-Organized Internal Models Architecture for Coding Sensory–Motor Schemes

Esau Escobar-Juárez, Guido Schillaci, Jorge Hermosillo-Valadez, Bruno Lara-Guzmán
2016 Frontiers in Robotics and AI  
It has been stressed in the literature that simulation, prediction, and multi-modal integration are key aspects of cognition and that computational architectures capable of putting them into play in a  ...  However, current Internal Models architectures show several drawbacks, mainly due to the lack of a unified substrate allowing for a true sensory-motor integration space, enabling flexible and scalable  ...  This feature redounds in an integrated learning strategy and allows for the scalability of the system.  ... 
doi:10.3389/frobt.2016.00022 fatcat:scrpr3ye3fdqxjf2wwrtejif2i
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