Yazan Mualla

Université de Technologie de Belfort-Montbéliard | UTBM · Laboratoire Connaissance et Intelligence Artificielle Distribuées (CIAD)

Recently, the civil applications of Unmanned Aerial Vehicles (UAVs) in aerial transportation are gaining more interest. Due to operational costs, safety concerns and legal regulations, agent-based simulation frameworks are preferably used to implement models and conduct tests. With the abundance of such frameworks in the civil applications of UAVs,...

In Oil&Gas drilling operations and after reachingdeep drilled depths, high temperature increases significantlyenough to damage the down-hole drilling tools, and the existingmitigation process is insufficient. In this paper, we propose aCyber-Physical System (CPS) where agents are used to representthe collaborating entities in Oil&Gas fields both up...

With the rapid increase of the world's urban population, the infrastructure of the constantly expanding metropolitan areas is undergoing an immense pressure. To meet the growing demands of sustainable urban environments and improve the quality of life for citizens, municipalities will increasingly rely on novel transport solutions. In particular, U...

Recently, the civilian applications of Unmanned Aerial Vehicles (UAVs) are gaining more interest in several domains. Due to operational costs, safety concerns, and legal regulations, Agent-Based Simulation (ABS) is commonly used to design models and conduct tests. This has resulted in numerous research works addressing ABS in civilian UAV applicati...

With the widespread use of AI, understanding the behavior of intelligent agents and robots is crucial to guarantee successful human-agent collaboration since it is not straightforward for humans to understand an agent's state of mind. Recent empirical studies have confirmed that explaining a system's behavior to human users fosters the latter's acc...

Intersections are at the core of congestion in urban areas. After the end of the Second World War, the problem of intersection management has benefited from a growing body of advances to address the optimization of the traffic lights’ phase splits, timing, and offset. These contributions have significantly improved traffic safety and efficiency in...

Background: Despite the advancement in eXplainable Artificial Intelligence, the explanations provided by model-agnostic predictors still call for improvements (i.e., lack of accurate descriptions of predictors’ behaviors). Contribution: We present a tool for Deep Explanations and Rule Extraction (DEXiRE) to approximate rules for Deep Learning model...

The rise of Artificial Intelligence has led to advancements in daily life, including applications in industries, telemedicine, farming, and smart cities. It is necessary to have human-AI synergies to guarantee user engagement and provide interactive expert knowledge, despite AI’s success in "less technical" fields. In this article, the possible syn...

With the widespread use of artificial intelligence, understanding the behavior of intelligent agents and robots such as drones is crucial to guarantee successful human-agent interaction, since it is not straightforward for humans to understand an agent's state of mind. Recent empirical studies have confrmed that explaining a system's behavior to hu...

With the widespread use of artificial intelligence, understanding the behavior of intelligent agents and robots such as drones is crucial to guarantee successful human-agent interaction since it is not straightforward for humans to understand an agent’s state of mind. Recent empirical studies have confirmed that explaining a system’s behavior to hu...

The technology of Connected and Autonomous Vehicles (CAV) is a hot topic of transportation systems, especially regarding platooning and the interaction with other road users. Considering traffic safety, many studies have been devoted to the exchange of information among various road users, such as CAVs and pedestrians. In a platooning scenario, whe...

Nowadays, with the emergence of connected objects and cars, road traffic systems become more and more complex and exhibit hierarchical behaviors at several levels of detail. The multilevel modeling approach is generally appropriate to represent traffic from several perspectives. However, few works have been interested in multilevel traffic modeling...

Transportation in controlled industrial sites provides a conducive environment for technologies of Connected Automated Vehicles (CAV). Recent studies show that safe and efficient road sharing between CAVs and pedestrians is challenging. Besides safety issues, a significant loss of time occurs when pedestrians cross a stream of CAVs. Currently, many...

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Multi-agent systems can be considered a natural paradigm when modeling various transportation systems, whose management involves solving hard, dynamic, and distributed allocation problems. Such problems have been studied for decades, and various solutions have been proposed. However, even the most straightforward resource allocation mechanisms lead...

The advent of Artificial Intelligence (AI) has brought about significant changes in our daily lives with applications including industry, smart cities, agriculture, and telemedicine. Despite the successes of AI in other “less-technical” domains, human-AI synergies are required to ensure user engagement and provide interactive expert knowledge. This...

The advent of Artificial Intelligence (AI) has brought about significant changes in our daily lives with applications including industry , smart cities, agriculture, and telemedicine. Despite the successes of AI in other "less-technical" domains, human-AI synergies are required to ensure user engagement and provide interactive expert knowledge. Thi...

Emphasizing the need for transparency and explainability of resource allocation decisions in ODT systems to be understandable by humans and move toward a more controllable resource allocation. We propose in this preliminary work a multi-agent architecture and general implementation guidelines towards meeting these requirements.

Quality of Experience (QoE) is defined as the measure of end-user satisfaction with the service. Existing works addressing QoE-management rely on a binary vision of end-user satisfaction. This vision has been criticized by the growing empirical evidence showing that QoE is rather a degree. This article aims to go beyond the binary vision and propos...

Generally during the execution of the daily schedule, there is a mismatch between the plan and the reality. Faced with unexpected events, which affect the schedule, individuals need to reschedule their decisions. In such situations, time is an important factor when making a rescheduling decision, as people feel time pressure because of the time thr...

With the widespread use of Artificial Intelligence (AI) systems, understanding the behavior of intelligent agents and robots is crucial to guarantee smooth human-agent collaboration since it is not straightforward for humans to understand the agent’s state of mind. Recent studies in the goal-driven Explainable AI (XAI) domain have confirmed that ex...

Motivated by the apparent societal need to design complex autonomous systems whose decisions and actions are humanly intelligible, the study of explainable artificial intelligence, and with it, research on explainable autonomous agents has gained increased attention from the research community. One important objective of research on explainable age...

Motivated by the apparent societal need to design complex autonomous systems whose decisions and actions are humanly intelligible, the study of explainable artificial intelligence, and with it, research on explainable autonomous agents has gained increased attention from the research community. One important objective of research on explainable age...

Cocoa beans are vital for the chocolate industries, with some African countries (Ivory Coast, Ghana, Nigeria and Cameroon) currently having 72% of the worldwide cocoa production. However, cocoa cultivation faces many threats such as diseases and insects. The most damaging insect that attacks cocoa plant in West Africa is the mirid. The previous wor...

Generally during the execution of the daily schedule, there is a mismatch between the plan and the reality. Faced with unexpected events, which affect the schedule, individuals need to reschedule their decisions. In such situations, time is an important factor when making a rescheduling decision, as people feel time pressure because of the time thr...

The paper presents a critical review of the use of holonic paradigm in order to model and simulate traffic and transportation systems. After an introduction presenting the principles of this paradigm as well as its frameworks and concepts, the paper surveys existing works using the holonic paradigm for traffic and transportation applications. This...

SARL is a general-purpose agent-oriented programming language. This language aims at providing the fundamental abstractions for dealing with concurrency, distribution, interaction, decentralization, reactivity, autonomy and dynamic reconfiguration that are usually considered essential for implementing agent-based applications. Every programming lan...

The paper presents a critical review of the use of holonic paradigm in order to model and simulate traffic and transportation systems. After an introduction presenting the principles of this paradigm as well as its frameworks and concepts, the paper surveys existing works using the holonic paradigm for traffic and transportation applications. This...

The communication between robots/agents and humans is a challenge, since humans are typically not capable of understanding the agent's state of mind. To overcome this challenge, this paper relies on recent advances in the domain of eXplainable Artificial Intelligence (XAI) to trace the decisions of the agents, increase the human's understandabilit...

This paper presents an initial design concept and specification of a civilian Unmanned Aerial Vehicle (UAV) management simulation system that focuses on explainability for the human-in-the-loop control of semi-autonomous UAVs. The goal of the system is to facilitate the operator intervention in critical scenarios (e.g. avoid safety issues or financ...

Advances in Artificial Intelligence (AI) are contributing to a broad set of domains. In particular, Multi-Agent Systems (MAS) are increasingly approaching critical areas such as medicine, autonomous vehicles, criminal justice, and financial markets. Such a trend is producing a growing AI-Human society entanglement. Thus, several concerns are raised...

Cocoa farm is one of the primary sources of income for several African countries. However, cocoa production is faced with several challenges like the pests of cocoa trees. Mirids (Sahlbergella singularis) is the key insect pest of cacao in West Africa. It is difficult to control the mirids’ population and its impacts on the cacao production. Relate...

Agriculture in general and cocoa farm in particular is one of the primary sources of income for several African countries. Although quite useful for the development of Africa, cocoa production is faced with several challenges like the diseases of cocoa trees. Mirid (Sahlbergella singularis) is the worst pest affecting cocoa production across west A...

Agriculture in general and cocoa farm in particular is one of the primary sources of income for several African countries. Although quite useful for the development of Africa, cocoa production is faced with several challenges like the diseases of cocoa trees. Mirid (Sahlbergella singularis) is the worst pest affecting cocoa production across west A...

In oilfield wells, while drilling for several kilometers below surface, high temperature damages the drilling tools. This costs money and time for tripping operations to change the damaged tool. Exist- ing temperature mitigation techniques has several drawbacks including a long response time, analogue signal issues and human intervention. In this w...

Oil&Gas have become the world’s most important source of energy since the mid-1950’s. For instance; Britain oilfields produce each year about 76 million tonnes of oil equivalent. This provides 76% of the UK’s total primary energy [5]. In oilfields wells, a drilling rig is used to create a bore-hole in the earth’s sub-surface with a Bottom Hole Asse...

AgentOil provides the ability to control the most important drilling parameters and simulate drilling runs in different hole sizes in drilling sections with the necessary information of each drilling run.

Recently, the applications of Unmanned Aerial Vehicles (UAVs) in aerial transportation are gaining more interest. Due to operational costs, safety concerns and legal regulations, agent- based simulation frameworks are preferably used to implement models and conduct tests. With the abundance of such frameworks, this paper introduces a methodology to...

As more interactive and multimedia-rich applications are migrating to the cloud, end-user satisfaction and her Quality of Experience (QoE) will become a determinant factor to secure success for any Software as a Service (SaaS) provider. Yet, in order to survive in this competitive market, SaaS providers also need to maximize their Quality of Busine...