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Yifeng Zhou, Kai Di and Haokun Xing
Principal?assistant agent teams are often employed to solve tasks in multiagent collaboration systems. Assistant agents attached to the principal agents are more flexible for task execution and can assist them to complete tasks with complex constraints. ...
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Svitlana Sharai,Myroslav Oliskevych,Maksym Roi
Pág. 70 - 83
The article deals with the interrelated processes of cargo transportation on the main road transport network. The problem of distribution of available vehicles was stated. The flows of incoming orders are stochastic, but have no features of the simplest....
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????? ????????????? ???????, ????? ????????????? ???????, ??????? ?????????? ???????, ???????? ?????????? ?????????
Pág. 57 - 66
The subject matter of the study is the methods and information technologies of logistic management of the procurement of a manufacturing enterprise. The goal is to reduce costs and the time for material and technical support of manufacturing by developin...
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Rajiv Paudel and Arika Ligmann-Zielinska
Agent-based model (ABM) development needs information on system components and interactions. Qualitative narratives contain contextually rich system information beneficial for ABM conceptualization. Traditional qualitative data extraction is manual, comp...
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Sean Grimes and David E. Breen
Wisdom-of-Crowds-Bots (WoC-Bots) are simple, modular agents working together in a multi-agent environment to collectively make binary predictions. The agents represent a knowledge-diverse crowd, with each agent trained on a subset of available informatio...
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Raihanah Adawiyah Shaharuddin and Md Yushalify Misro
Urbanised city transportation simulation needs a wide range of factors to reflect the influence of certain real-life events accurately. The vehicle composition and the timing of the traffic light signal scheduling play an important role in controlling th...
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David Romero and Paula Escudero
This study assesses the impact of incorporating an adaptive learning mechanism into an agent-based model simulating behavior on a university campus during a pandemic outbreak, with the particular case of the COVID-19 pandemic. Our model not only captures...
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Eric Fotsing,Severin Vianey Tuekam Kakeu,Eric Desire Kameni,Marcellin Julius Antonio Nkenlifack
Pág. 16 - 37
Nowadays, there is an increasing need to rapidly build more realistic models to solve environmental problems in an interdisciplinary context. In particular, agent-based and spatial modeling have proven to be useful for understanding land use and land cov...
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Nastasija Grujic, Sanja Brdar, Sjoukje Osinga, Gert Jan Hofstede, Ioannis N. Athanasiadis, Milo? Pljakic, Nikola Obrenovic, Miro Govedarica and Vladimir Crnojevic
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Huihui Wang, Weihua Zeng and Ruoxin Cao
The jobs?housing balance concerns the spatial relationship between the number of jobs and housing units within a given geographical area. Due to the separation of jobs and housing, spatial dislocations have occurred in large cities, which have resulted i...
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Chen Chen, Feng Ma, Xiaobin Xu, Yuwang Chen and Jin Wang
Ships are special machineries with large inertias and relatively weak driving forces. Simulating the manual operations of manipulating ships with artificial intelligence (AI) and machine learning techniques becomes more and more common, in which avoiding...
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Vitalii Martovytskyi, Oleksandr Ivaniuk
Pág. 43 - 51
Today, the problem of navigation of autonomous mobile systems in a space where disturbances are possible is urgent. The task of finding a route for a mobile robot is a complex and non-trivial task. At the moment, there are many algorithms that allow you ...
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Fernando De la Prieta, Sara Rodríguez-González, Pablo Chamoso, Yves Demazeau and Juan Manuel Corchado
The cloud computing paradigm has the ability to adapt to new technologies and provide consistent cloud services. These features have led to the widespread use of the paradigm, making it necessary for the underlying computer infrastructure to cope with th...
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Stef Janssen, Diogo Matias and Alexei Sharpanskykh
Airports are attractive targets for terrorists, as they are designed to accommodate and process large amounts of people, resulting in a high concentration of potential victims. A popular method to mitigate the risk of terrorist attacks is through securit...
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Sean Grimes and David E. Breen
We present a flexible, robust approach to predictive decision-making using simple, modular agents (WoC-Bots) that interact with each other socially and share information about the features they are trained on. Our agents form a knowledge-diverse crowd, a...
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Il-Seok Choi, Akhtar Hussain, Van-Hai Bui and Hak-Man Kim
In this paper, an optimal energy management scheme for building microgrids with rooftop greenhouse is proposed. A building energy management system (BEMS) is utilized for the optimal fulfilment of energy demands in the building and the greenhouse. The ex...
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Stefânia DA SILVEIRA GLAESER,Angélica Theis DOS SANTOS,Adriano DE CEZARO,Catia Maria dos Santos MACHADO,Diana Francisca ADAMATTI
Pág. 17 - 25
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Anqi Liu, Cheuk Yin Jeffrey Mo, Mark E. Paddrik and Steve Y. Yang
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Johan Barthélemy, Timoteo Carletti
Pág. 1238 - 1248
The aim of this work is to present the initial exploration of a behavioural Dynamic Traffic Assignment model, particularly suitable to be used and implemented in agent-based micro-simulations. The proposal relies on the assumption that travellers take ro...
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Francis Oloo and Gudrun Wallentin
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