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Interactive multistage simulation of goal-driven agents

Angelo E. M. Ciarlini, Antonio L. Furtado
1999 Journal of the Brazilian Computer Society  
Multistage simulation is employed to help predicting the future actions of collaborating or competing agents, interacting in the mini-world covered by a temporal database.  ...  Besides goal-inference rules, the simulation machinery adapts and combines plan-recognition and generation algorithms.  ...  Next, we describe how we can use interactive planning to simulate the interaction of database agents when there are many goals to be fulfilled.  ... 
doi:10.1590/s0104-65001999000300004 fatcat:vxfwcj2gtrfkrlk7iwhdiygn3a

Behavior-driven agent-based models of spatial systems

Xinyue Ye, Yuri Mansury
2016 The annals of regional science  
Cities and regions are quintessential examples of complex systems made up of interacting agents from B Yuri Mansury  ...  This class of models is "agent based" because it seeks to explain emerging spatial orders (the systems behavior) in terms of local interactions among decisionmakers (agents) as well as between them and  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s00168-016-0792-3 fatcat:2gjt6x5rhbgfzn6wingg25dy4e

A Multi-objective Decision Support Framework for Simulation-Based Security Control Selection

E. Kiesling, C. Strausss, C. Stummer
2012 2012 Seventh International Conference on Availability, Reliability and Security  
This framework comprises (i) ontological modeling of security knowledge, (ii) dynamic attack graph generation techniques, (iii) probabilistic simulation of attacks by goal-driven threat agents, (iv) metaheuristic  ...  identification of efficient portfolios of information security controls, and (v) interactive decision support.  ...  attacks carried out by goal-oriented threat agents, (iii) the development of new simulation optimization approaches, and (iv) an improved valuation of information security investment opportunities through  ... 
doi:10.1109/ares.2012.70 dblp:conf/IEEEares/KieslingSS12 fatcat:cnswkpi6hrey5gbd6l3xxapxkq

Multi-agent Contracting and Reconfiguration in Competitive Environments using Acquaintance Models

J. Bíba, J. Vokřínek
2006 Acta Polytechnica  
Cooperation of agents in competitive environments is more complicated than in collaborative environments.  ...  Agents in competitive environments are fully autonomous and selfinterested. Therefore the setting of penalties and profit computation cannot be provided centrally.  ...  agent during interactions with the partners (other agents).  ... 
doaj:9ab6b81cfadd43d4ae8327e2cc74c1a0 fatcat:fgwhbszdojf7zjrbf4odf34ari

Towards a Plan-based Learning Environment

Angelo E. M. Ciarlini, Antonio L. Furtado
2003 PGL DataBase Research Conference  
The learning environment is grounded on three-level conceptual schemas of information systems, and offers a tool for simulating the behavior of agents with an adequate degree of realism.  ...  After arguing for the relevance of Plan-Based Learning, we stress the need of taking into account both cognitive and affective characteristics of the various agents operating in the specified multi-goal  ...  In more detail, when using the three-level schemas for simulation, our prototype runs a multistage process in which the application of goal-inference rules alternates with planning phases.  ... 
dblp:conf/pgldb/CiarliniF03 fatcat:hafldm4aonepljtkanejpltaiy

Decision Making for Principal-Agent Contracts in Intelligent Customization for New Energy Equipment

Fansheng Meng, Peng Song, Gang Zhao
2019 Mathematical Problems in Engineering  
This paper establishes a multistage principal-agent model of intelligent customization for new energy equipment.  ...  The static principal-agent model was improved to a multistage model by setting the timeline. Long-term effectiveness of the decision modification mechanism was verified using this multistage model.  ...  Multistage Principal-Agent Model Our multistage principal-agent model is built based on the original hypothesis by introducing the time axis and putting forward new hypotheses which are used to simulate  ... 
doi:10.1155/2019/7102623 fatcat:l5zh4xqknvawfd5feuc5yceuqm

A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

Saeed P. Langarudi, Robert P. Sabie, Babak Bahaddin, Alexander G. Fernald
2021 Modelling  
This paper explores the possibility and plausibility of developing a hybrid simulation method combining agent-based (AB) and system dynamics (SD) modeling to address the case study of produced water management  ...  We then conducted a systematic literature review to summarize state-of-the-art of hybrid modeling methodologies and techniques.  ...  Class D: In this class, some SD variables are driven by AB interactions, while some AB variables receive information from SD variables.  ... 
doi:10.3390/modelling2020012 fatcat:wfnvw2bahbcxdb33nbauxnvpby

Real-time co-operative decision making & control systems

Ljubo B. Vlacic, Daniel I. Thomas, Joshue Perez
2011 2011 XXIII International Symposium on Information, Communication and Automation Technologies  
It examines the aspects of being co-operative and substitutable in the context of: (i) co-operative driving by driverless vehicles; and (ii) computer game play scenarios for collaborative and social interactions  ...  Learning and adaptability (and thus the ability of being co-operative) are important features of decision & control systems.  ...  This is because an extremum seeking process is often a sequential (multistage) process of defining: (i) the goal and its criteria of optimality; (ii) mutually exclusive constraints; and (iii) the methods  ... 
doi:10.1109/icat.2011.6102100 dblp:conf/icatech/VlacicTP11 fatcat:ukvwrnbpdnbadmtxjf3o3ma7am

Simulation and computational analysis of multiscale graph agent-based tumor model [article]

Ghazal Tashakor, Remo Suppi
2019 arXiv   pre-print
In particular, we propose a graph agent-based modeling and simulation system in the format of tumor growth scenario for evolving analysis.  ...  Combining agent-based modeling with graph-based modeling to simulate the structure, dynamics, and functions of complex networks is exclusively important for biological systems with a large number of open  ...  The goal is simulating the dynamic behavior of tumor-growth.  ... 
arXiv:1909.01711v1 fatcat:65xhn6ivuvgafmznvn4xgky254

Cognitive and affective motivation in conceptual modelling

Antonio L. Furtado, Angelo E. M. Ciarlini
2002 Revista Colombiana de Computación  
Keywords: Conceptual Modelling, Simulation, Multi-Agents, Affective Motivation, Goal Interferences  ...  A proposal is presented towards the extension of conceptual models of information systems, in order to allow specification and simulation of the behaviour of agents with an adequate degree of realism.  ...  When using the three-level schemas for simulation, our prototype runs a multistage process in which the application of goal-inference rules alternates with planning phases.  ... 
doaj:23a1d5fd8fc44a329b6fa358aedafd5f fatcat:72btsjogtnh3xckxj5m7tgna3u

Modeling-Enabled Systems Nutritional Immunology

Meghna Verma, Raquel Hontecillas, Vida Abedi, Andrew Leber, Nuria Tubau-Juni, Casandra Philipson, Adria Carbo, Josep Bassaganya-Riera
2016 Frontiers in Nutrition  
We propose to investigate nutritional immunology as a massively interacting system of interconnected multistage and multiscale networks that encompass hidden mechanisms by which nutrition, microbiome,  ...  metabolism, genetic predisposition, and the immune system interact to delineate health and disease.  ...  The MIEP technology is HPC-driven as illustrated by ENISI MSMv2, a tool that models mucosal immune response and scales up to 10 11 agents in HPC simulations (106) .  ... 
doi:10.3389/fnut.2016.00005 pmid:26909350 pmcid:PMC4754447 fatcat:3xomgnn7pzhavmlrcqruyvgwta

Fostering Industrial Symbiosis With Agent-Based Simulation and Participatory Modeling

David F. Batten
2009 Journal of Industrial Ecology  
For example, I show how agent-based simulation can generate cost-efficient energy futures in which groups of firms behave more ecoefficiently by introducing strategically located clusters of renewable,  ...  agents.  ...  Unfortunately, some of this profit-driven behavior exacerbates GHG emissions.  ... 
doi:10.1111/j.1530-9290.2009.00115.x fatcat:63bazubxdraprcci2q7vs4vm5u

Learning Situational Driving

Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Our key idea is to learn a mixture model with a set of policies that can capture multiple driving modes.  ...  To generalize when making decisions across diverse conditions, humans leverage multiple types of situationspecific reasoning and learning strategies.  ...  Problem Definition: The goal-directed driving task is formulated as a sequential-decision making problem, de-fined in the context of the CARLA [10] simulator.  ... 
doi:10.1109/cvpr42600.2020.01131 dblp:conf/cvpr/Ohn-BarPBCG20 fatcat:4jxbpkfxhzdxxbf4py7pfhmchm

Learning Closed-loop Dough Manipulation Using a Differentiable Reset Module [article]

Carl Qi, Xingyu Lin, David Held
2022 arXiv   pre-print
Our policy receives partial point clouds as input, allowing ease of transfer from simulation to the real world.  ...  We consider the task of flattening a piece of dough into a specific shape from RGB-D images.  ...  Our novel gradient-based trajectory optimizer leverages a differentiable reset module and can optimize an entire multistage trajectory to avoid local optima.  ... 
arXiv:2207.04638v1 fatcat:6w3y3hwqpzaxdbnis2ascitg6u

Identification of the Efficiency Gap by Coupling a Fundamental Electricity Market Model and an Agent-Based Simulation Model

Laura Torralba-Díaz, Christoph Schimeczek, Matthias Reeg, Georgios Savvidis, Marc Deissenroth-Uhrig, Felix Guthoff, Benjamin Fleischer, Kai Hufendiek
2020 Energies  
In this paper, we identify and quantify this gap by soft-linking a fundamental electricity market model and an agent-based simulation model, which allows the consideration of these effects.  ...  A reliable and cost-effective electricity system transition requires both the identification of optimal target states and the definition of political and regulatory frameworks that enable these target  ...  agent-based simulation.  ... 
doi:10.3390/en13153920 fatcat:bauga3fdnrcrtfsq3cylz2ted4
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