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SIMBA: A simulator for business education and research
2010
Decision Support Systems
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been partially sponsored by a regional project CCG08 UC3M/TIC 4141 of the Comunidad de Madrid, a national pro ject TIN2008 06701 C03 03 of the Ministerio de Ciencia e Innovación of Spain and a contract with ...
using the log informa tion obtained in an interaction between the simulator and a human; a learning agent that uses a reinforcement learning approach to acquire action policies. ...
Reinforcement learning is widely used in multi agent systems in order to improve the behavior of the agents [1] . ...
doi:10.1016/j.dss.2009.06.009
fatcat:ehnalf2wrndfnlsx53w637omxq
Transparency, consistency and modularity of strategic reasoning: An agent architecture for interactive business simulations
2011
Proceedings of the 2011 Winter Simulation Conference (WSC)
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Such guidance or scaffolding is critical for learning outcomes in the simulation-based exploratory educational setting (Bekebrede et al. 2005 , Kirschner et al. 2006 . ...
A similar challenge is found in noninteractive supply chain simulations for research, such as the Trading Agent Competition for Supply Chain Management (Sadeh et al. 2003) and many agent-based computational ...
Educators apply simulation games as a constructivist learning approach for their experiential or problem-based learning pedagogy (Lainema 2009, Thavikulwat and Pillutla 2010) . ...
doi:10.1109/wsc.2011.6147878
dblp:conf/wsc/KrevelenWBVC11
fatcat:heh7teyflvffvehfezpnogwuc4
Modeling and simulation for enterprise decision-making: Successful projects and approaches
2015
2015 International Conference on Industrial Engineering and Operations Management (IEOM)
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Due to the complexity of decision making processes, modeling and simulation tools are being used to facilitate them and minimize the risk of making wrong decisions in the various business process phases ...
In this paper, we highlight the role of modeling and simulation in enhancing decision-making processes in enterprises. ...
Risk-Based Decision Making (RDM) for entrepreneurial team [8] is Multi-agent simulation for a unified entrepreneurial team decision that can be an efficient tool for managers in business including entrepreneurial ...
doi:10.1109/ieom.2015.7093873
fatcat:bmwndo5zlzdddhyfw5dp34sesu
REINFORCEMENT LEARNING FOR DECISION-MAKING IN A BUSINESS SIMULATOR
2012
International Journal of Information Technology and Decision Making
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An important issue of SIMBA architecture is that humans can interact with virtual agents. ...
In this paper we describe SIMBA, a simulator for business administration, as a Multi-Agent platform for the design, implementation and evaluation of virtual agents. ...
With this, RL can be used to improve the behavior of the players in a stochastic business game [13] . ...
doi:10.1142/s0219622012500277
fatcat:pqyc7c6nljaa3alhaszru7amvm
An agent-based market simulation for enriching innovation management education
2020
Central European Journal of Operations Research
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Overall, we find that using an agent-based model as the core of a business gaming simulation can facilitate experiential learning in management, particularly in fields that involve complex social system ...
Business gaming simulations can remedy this, as they provide an opportunity to acquire practical skills. ...
Agent-based market simulation
Learning objectives The business gaming simulation MIDAS (short for Management Game for Innovation Diffusion Using an Agent-based Simulation) has been designed to be part ...
doi:10.1007/s10100-020-00716-3
fatcat:mzxgcfraxfboxjpyl2mw7skwom
Towards Improving Supply Chain Coordination through Agent-Based Simulation
[chapter]
2010
Advances in Intelligent and Soft Computing
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In this paper we argue that agent technologies can provide an intelligent solution to the improvement of SCM. ...
Its theoretical conceptualisation, a logic-based formalisation and the system's architecture that combines agent technologies with business rules and business process modelling are presented. ...
A Multiagent-Based Framework for Overall SC Simulation With the aim of providing an intelligent solution for SCM improvement, that is realistic and easy to use by industry, we propose a three-phased agent-based ...
doi:10.1007/978-3-642-12433-4_26
dblp:conf/paams/ManatakiCR10
fatcat:iwznkkuv6jfhdoldkhua5yiuxq
Fidelity and game-based technology in management education
2012
BAR: Brazilian Administration Review
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Agents must be ready and motivated to explore the new, to try and err, and to learn collaboratively in order to perform. ...
The findings reveal a higher overall perception of quality towards BG 1 : (a) better for testing strategies, (b) offering better business and market models, (c) based on a pace that better stimulates learning ...
an instrumental approach (i.e., future learning). ...
doi:10.1590/s1807-76922012000200003
fatcat:lue7vdwtxjfkvkyersz2yg3vp4
A context-aware adaptive learning system using agents
2011
Expert systems with applications
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The proposed architecture is based upon multi-agent systems and uses both Sharable Content Object Reference Model (SCORM) 2004 and semantic Web ontology for learning content storage, sequencing and adaptation ...
This paper suggests a framework for building an adaptive Learning Management System (LMS). ...
Also agents simulate the human-side of learning more naturally than any other controlled computer-based method. ...
doi:10.1016/j.eswa.2010.08.113
fatcat:6bcscawevfc4zdufgnsbmegl2a
The Usability of Agent-Based Simulation in Decision Support System of E-Commerce Architecture
2012
International Journal of Information Engineering and Electronic Business
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The multi-agent approach and advantages of agent-based modeling and simulation are discussed in the third section. ...
The last section presents proposed DSS architecture using multi-agent approach and simple agent-based simulation model. ...
This is done through active learning based on the situation that arises in the environment. ...
doi:10.5815/ijieeb.2012.01.02
fatcat:rhndm7oqjvc63kn2ta7ma4zxbq
An Agent Based approach to design Serious Game
2014
International Journal of Serious Games
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On the basis of experience in designing computer simulation, this paper proposes an agent-based approach to guide the design process of a serious game. ...
To this end, an agent based approach is proposed because it provides the actors involved in designing the game with specific tools and guidelines for determining whether the proposed model is clear and ...
Acknowledgements The authors would like to thank all the students and the school staff who took part in the experiment, and in particular we remember Simona Curtese with love. ...
doi:10.17083/ijsg.v1i2.17
fatcat:kze6aypzkbce7f7htk5kw7367m
Machine Learning Agents in the Cloud to Support Smart Business Process Management
[chapter]
2015
IFIP Advances in Information and Communication Technology
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We propose a solution using machine learning agents operating in an AGR (Agent-Group-Role) organization within the Cloud. ...
Like these researchers, we present in this paper, a modelling and simulating software toolkit called BP-EMC 2 based on a generic framework baptized H-BPM. ...
The next section deals with the essential elements of BPM to identify concepts and approaches that aim to design an efficient tool to help VEN partners to manage and improve their cooperation. ...
doi:10.1007/978-3-319-24141-8_44
fatcat:nmdzm2ltmnahfoatbkr3ujkm34
Digital Ecosystems: Optimisation by a Distributed Intelligence
[article]
2009
arXiv
pre-print
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How could a distributed intelligence interact with the ecosystem dynamics? Can the software components that are part of genetic selection be intelligent in themselves, as in an adaptive technology? ...
We investigate Neural Networks and Support Vector Machine for the learning based pattern recognition functionality of our distributed intelligence. ...
(an agent was replaced in an agent-sequence), and deletions (an agent was deleted from an agent-sequence) [70] . ...
arXiv:0712.4099v3
fatcat:5vlzhcksrbcydgc5fydzgpm2q4
A Collaborative Reinforcement Learning Approach to Urban Traffic Control Optimization
2008
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
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The design employs an ARR-CRL-based agent controller for each signalized junction that collaborates with neighbouring agents in order to learn appropriate phase timing based on the traffic pattern. ...
An efficient solution to UTC must be adaptive in order to deal with the highly-dynamic nature of urban traffic. ...
in Third Level Institutions (as the Networked Embedded Systems Centre). ...
doi:10.1109/wiiat.2008.88
dblp:conf/iat/SalkhamCGC08
fatcat:mbng7bydb5bsbptjs257fli5im
Agent-based Modelling and Simulation for Circular Business Model Experimentation
2021
Resources, Conservation & Recycling Advances
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The novel approach provided in this work shows that agent-based modelling and simulation is a powerful method to study and improve circular business models prior to implementation. ...
An agent-based model (ABM) was co-created with case study participants in three Industrial Symbiosis networks. ...
Last but not least, we sincerely thank the participants and contributors in our case studies. ...
doi:10.1016/j.rcradv.2021.200055
fatcat:i6tu625pgndjzns4xx42hhssie
Co-creating value through agents interaction within service network
2017
Journal of Industrial Engineering and Management
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where Collaborative Transportation Management (CTM) forms might be best employed.Design/methodology/approach: In order to model the interactions among agents in the collaboration processes and the value ...
Then, the agent-based simulation was used to capture both the collaboration process and the value co-creation process of the three collaboration cases.Findings: The interactions among the agents both inside ...
The term of value in businesses has two approaches: the goods-centered approach and service-centered approach. ...
doi:10.3926/jiem.2012
fatcat:wpwfcaulpvhivayshllidkmzue
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