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Distributed, parallel simulation of multiple, deliberative agents

A.M. Uhrmacher, K. Gugler
Proceedings Fourteenth Workshop on Parallel and Distributed Simulation  
For testing multi-agent systems, distributed parallel simulation techniques are required that take the dynamic pattern of composition and interaction of multi-agent systems into account.  ...  Multi-agent systems comprise multiple, deliberative agents embedded in and recreating patterns of interactions. Each agent's execution consumes considerable storage and calculation capacities.  ...  If only a single deliberative agent is tested in a dynamic environment [1] or the coordination strategies of a moderate number of reactive agents [7] , there is no need for a distributed, parallel execution  ... 
doi:10.1109/pads.2000.847150 dblp:conf/pads/UhrmacherG00 fatcat:htajc3evm5fe7nspzxx3tfcbzi

Adaptive algorithms for the dynamic distribution and parallel execution of agent-based models

Matthias Scheutz, Paul Schermerhorn
2006 Journal of Parallel and Distributed Computing  
Both algorithms can automatically distribute ABMs over multiple CPUs and dynamically adjust the degree of parallelization based on available computational resources throughout the simulation runs.  ...  a single CPU and do not support the distribution of the ABM over multiple CPUs (even though they might support the scheduling of sequences of ABM simulations).  ...  them support the distribution of simulations over multiple hosts.  ... 
doi:10.1016/j.jpdc.2005.09.004 fatcat:qrdcnofwyrbl7nmmyvgu2h3oje

Scalability in distributed simulations of agent-based models

Dirk Pawlaszczyk, Steffen Strassburger
2009 Proceedings of the 2009 Winter Simulation Conference (WSC)  
Scalable solutions are required, as complex models require the capability to simulate hundreds or more complex deliberative agents.  ...  The focus of the work presented here is on scalability aspects of simulation environments for agent based simulations.  ...  SCALABILITY OF SIMULATIONS General Considerations To simulate large scale, distributed systems of deliberative software agents is a complex endeavor for hardware and software.  ... 
doi:10.1109/wsc.2009.5429429 dblp:conf/wsc/PawlaszczykS09 fatcat:tmdnbaiiafg23iadgywc2qj4uq

Distributed simulation of agent-based systems with HLA

Michael Lees, Brian Logan, Georgios Theodoropoulos
2007 ACM Transactions on Modeling and Computer Simulation  
Distributed simulation of agent-based systems with HLA. ACM Trans. Model.  ...  In this article we describe HLA AGENT, a tool for the distributed simulation of agent-based systems, which integrates the SIM AGENT agent toolkit and the High Level Architecture (HLA) simulator interoperability  ...  ACKNOWLEDGMENTS We would like to thank Matt Ismail of the Centre for Scientific Computing at the University of Warwick for access to their Task Farm cluster.  ... 
doi:10.1145/1243991.1243992 fatcat:tm4cuignwncnpivzk3ondzloiq

Reactive and motivational agents: Towards a collective minder [chapter]

Darryl N. Davis
1997 Lecture Notes in Computer Science  
agents act as distributed dynamic processing nodes.  ...  We contest that reactive, deliberative and other behaviours are required in complete (intelligent) agents.  ...  Acknowledgements This research was funded by a University Of Birmingham internal grant.  ... 
doi:10.1007/bfb0013594 fatcat:rltxncjrsjg3lg4txwzgmf2t6e

Funk2: A Distributed Processing Language for Reflective Tracing of a Large Critic-Selector Cognitive Architecture

Bo Morgan
2010 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop  
EM1 is a step toward a large and complex commonsense reasoning agent with multiple layers of metareasoning that inspect, control, and debug mental representations.  ...  Part of the reactive layer of the algorithm is written in C and runs PID control loops in a simulated social two-wheeled inverted pendulum type robot.  ...  FUNK2 REPRESENTS EACH CRITIC AND SELECTOR AS A SEPARATE THREAD Funk2 is an abstract simulation of a distributed operating system.  ... 
doi:10.1109/sasow.2010.56 dblp:conf/saso/Morgan10 fatcat:pvo3pwf46fgczakzm2pf6sx73y

On designing migrating agents

Kaveh Hassani, Won-Sook Lee
2014 SIGGRAPH Asia 2014 Autonomous Virtual Humans and Social Robot for Telepresence on - SIGGRAPH ASIA '14  
In the realm of multi-agent systems, migration refers to the ability of an agent to transfer itself from one embodiment such as a graphical avatar into different embodiments such as a robotic android.  ...  Evaluation results suggest that the architecture supports migration by performing consistent deliberative and reactive behaviors.  ...  In each simulation, the length of a mission sequences is selected by a random uniform distribution in the range of [5, 25] .  ... 
doi:10.1145/2668956.2668963 dblp:conf/siggraph/HassaniL14 fatcat:3ijojep26zhdvn6he6wmjpw22i

A Cognitive Architecture Based on Cognitive/Neurological Dual-System Theories [chapter]

Othalia Larue, Pierre Poirier, Roger Nkambou
2012 Lecture Notes in Computer Science  
behavior can emerge from physical systems of interacting simple processors such as our agents or low-level neural processors.  ...  In previous work [11] , we introduced a cognitive architecture for the simulation of human behaviour based on Stanovich's tripartite framework [1] , which provides an explanation of how reflexive and adaptive  ...  When multiple strategies (meaning two or more GoalSet Agents) are selected at the algorithmic level, the Goal Agent that belongs to the Algorithmic and Reflective Group triggers a simulation of the strategies  ... 
doi:10.1007/978-3-642-35139-6_27 fatcat:toibooexkbbj3ojia2dpsfbdem

A Real-Time Hybrid Architecture for Biped Humanoids with Active Vision Mechanisms

Javier Testart, Javier Ruiz del Solar, Rodrigo Schulz, Pablo Guerrero, Rodrigo Palma-Amestoy
2010 Journal of Intelligent and Robotic Systems  
The hybrid control module is distributed among three behavior-based hierarchical layers: the planning layer, the deliberative layer and the reactive layer, which work in parallel and have very different  ...  In Section 4, a validation of the architecture using simulated and real Nao humanoid robots is presented.  ...  By having this parallelism, the simulator is able to take into account the time that the robot expends in processing, thus achieving more realistic experiments.  ... 
doi:10.1007/s10846-010-9515-7 fatcat:abtqzenrcbcqbbaeq2ffaa5mly

Distributed artificial intelligence in GIS ‐ Geolet: A distributed geo‐spatial information retriever

Y. Wang, C. Rizos, L. Ge, M. Tanner, M. Dwyer
2005 Journal of Spatial Science  
In this paper, an Agent-based Distributed Artificial Intelligent GIS paradigm will be discussed and a Geolet-based DGIS prototype system is provided.  ...  The advantages of 'Distributed GIS' have long been realised by GIS practitioners and researchers, for its strengths of system flexibility, reliability, scalability, processing efficiency and resources  ...  Spatial Information Systems, The University of New South Wales.  ... 
doi:10.1080/14498596.2005.9635048 fatcat:e6rukxlrsbhflbbyons3scywvi

Colour reverse learning and animal personalities: the advantage of behavioural diversity assessed with agent-based simulations

Adrian Dyer, Alan Dorin, Verena Reinhardt, Marcello Rosa
2012 Nature Precedings  
To understand the potential benefits of the observed behavioural diversity agent-based computer simulations were conducted by systematically varying parameters for flower reward switch oscillation frequency  ...  However, as the reward reversal frequency decreases the performance of deliberative-decisive bees becomes most efficient.  ...  This parallels our Deliberative-decisive bee strategy. Alternatively, human subjects may use an Incrementalist strategy.  ... 
doi:10.1038/npre.2012.7037.1 fatcat:oedcuzjlhbby7nloupveoi24cy

A general framework for parallel BDI agents in dynamic environments

Huiliang Zhang, Shell Ying Huang
2008 Web Intelligence and Agent Systems  
We illustrate the working of a parallel agent under the general framework with an agent simulating the behaviour of a vessel captain navigating in sea.  ...  Then the performance of a parallel agent is evaluated against several versions of sequential agents.  ...  But the time for the evaluation of the sequential and parallel agents is ne by simulation of the processing of events by ts tial agents and the parallel agent will process the same sequences of  ... 
doi:10.3233/wia-2008-0144 fatcat:77awa7oqcvezxlhzdsjzjfsvfy

Computing Commonsense

P Singh, M Minsky, I Eslick
2004 BT technology journal  
The architecture supports multiple layers of reflective reasoning, mechanisms for coherent reasoning across multiple representations, and large-scale control structures called 'ways to think'.  ...  In this paper, we describe a multi-agent architecture for enabling commonsense reasoning which is in development at the Media Lab.  ...  This work is supported by the sponsors of the MIT Media Lab.  ... 
doi:10.1023/b:bttj.0000047599.89995.3c fatcat:evznoa34ovfg7khhl72qsa6rjm

Robot soccer anywhere: achieving persistent autonomous navigation, mapping, and object vision tracking in dynamic environments

Mauro Dragone, Ruadhan O'Donoghue, John J. Leonard, Gregory O'Hare, Brian Duffy, Andrew Patrikalakis, Jacques Leederkerken, Brian W. Bowe, Gerald Byrne, Aidan J. Flanagan, Thomas J. Glynn, Jonathan Magee (+4 others)
2005 Opto-Ireland 2005: Photonic Engineering  
for decentralized, distributed control of mobile agents, (3) integration of vision-based object tracking with dynamic control, and (4) social interaction with human participants.  ...  Unlike conventional robot soccer competitions that are usually held on purpose-built robot soccer "fields", in our work we seek to develop the capability for robots to demonstrate aspects of soccer-playing  ...  The coordination of multiple agents is achieved via the Social Robot Architecture, a distributed agent based environment for heterogeneous networks of agents with mobility. 24 These efforts are greatly  ... 
doi:10.1117/12.608404 fatcat:jloufm22wja3rdqnmzi5ulnml4

Large scale multiagent simulation on the grid

I.J. Timm, D. Pawlaszczyk
2005 CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.  
amount of software agents, i.e. more than ten thousands of agents.  ...  of simulation.  ...  Acknowledgement Parts of this research is funded by the German Research Foundation (DFG) within the Collaborative Research Centre 637 "Autonomous Cooperating Logistic Processes: A Paradigm Shift and its  ... 
doi:10.1109/ccgrid.2005.1558574 dblp:conf/ccgrid/TimmP05 fatcat:p7pqyxggq5d5ngbrqh4jhsy7l4
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