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The Agents of Things (AoT) is a novel concept that unites the physical and cyber worlds and enables things to intelligently interact and communicate with each other. The main goal of this concept is to minimize the constraints on the Internet of Things (IoT), represented by the lack of self-reasoning capability in the things and to correspondingly offer improved applications that can provide value-added...
Norms are dynamic entities that exist in open multi-agent systems to control agents' behavior. For norms to be effective in a domain, agents must first detect the norms' existence. Recent works in this area have proposed mechanisms to endow agents with a norm detection capability. However, existing works in norms detection entail agents to consider only one norm in a particular event. In reality,...
Autonomous systems have been deployed to perform difficult and risky tasks on humans' behalf. Software agent and multi-agent technologies have been used as a means to implement the autonomous capabilities of systems. Definitely, there is a challenge of building a model that enables agents and humans to interact and efficiently operate a system. This paper presents a Flexible Human-Agent Interaction...
The ability of rational agents to work in a team is one of their special characteristics that can help achieve their shared goals. However, in certain conditions, conflict may occur in an agent society; especially if there are selfish agents. A selfish agent places the achievement of its own goal as the main priority in its actions. To strike a balance between the achievement of an agent's own goal...
In real-life environment, 80% of business processes are dynamic whereby each process is dependent on individual conditions of execution and at the same time contains a large amount of parameters that makes them difficult to model. A self-adaptive, agent-based simulation model for dynamic processes enables reduction of costs, resources and efforts in designing new models. This paper presents a workflow...
Task is defined as a set of actions in order to achieve a specific goal. The process of finishing all given tasks can be done either polychronically or monochronically. In polychronic nature, tasks are completed simultaneously while in monochromic nature; tasks are completed one at a time through a prioritization process. The monochronic nature of carry out task applies very well to all the current...
The Agents of Things is an extension of the Internet of Things concept in which objects or things are embedded with self-reasoning intelligent software agents to provide value-added services to humans. However, a particular difficulty in designing intelligent things for the Agents of Things implementation is to determine the level of reasoning ability that corresponds to the functions of the things...
Processes in time-constrained environment which could be known as works or tasks with deadlines became a part of life in most areas. Efficiency of life is even measured by the ability of an individual in meeting deadlines. Due to this reality, agent-based simulation systems ventured into simulating tasks with deadlines as a measure to maximize the efficiency of work. However, due to propriety nature...
In open normative multi-agent systems, norms are created dynamically. Some of these norms emerge and persist due to their benefits and strength. While other norms emerge for a short period of time, then vanish due to several reasons that lead to loss in their benefit or strength. Each norm of the created ones might have positive, negative, or neutral consequences on the system. Norms decay by society's...
In autonomous systems research, it is unlikely to find two or more autonomy models that have significant match, especially when they represent different domains. Consequently, different concepts and approaches are utilized to construct the autonomy models. These two issues among others pose the difficulty of creating a general matrix or methodology to assess a broad class of autonomy models. In this...
Research in normative multi-agent systems (NorMAS) have progressed from norm representation towards investigation of mechanisms in social sciences to support for agents' tasks in open multi-agent systems (open-MAS) settings. Open-MAS characteristics pose new challenges in regulating and coordinating agents' behavior. Norms are no longer assumed to be built into agents during design time, but emerged...
SMEs are major contributors to the Malaysia's economic growth. They constitute about 99.2% of registered companies in Malaysia. E-business is believed could help to increase the SMEs competitiveness by venturing into global and virtual marketplace. However, it is reported that only 20% of SMEs have an Internet presence but not fully e-business. Among the limitations that the SMEs faced are lack of...
Software agents are known to assist humans in handling many complex systems. Currently, there are consciousness among researchers in software agents to continuously find ways to instill human traits in software agents' behaviors. Sincere behavior is one of the many noble human behaviors that one could consider to be adapted in software agents. Research show that sincerity culture within organizational...
Norms of negative consequences might be practiced in a society for a long time. These norms are mostly related to strong beliefs that prevent individuals from violating or abandoning them. In this case, these norms must be removed to reach a stable and benevolent society. Negative norms removal is presented in social science as a part of society evolution, yet it is not modeled in normative multi-agent...
In Multi-agent Systems (MAS), agents perform a variety of actions to autonomously complete a number of tasks. In this paper, we describe a mechanism to measure a task's deliberation intensity and apply the mechanism in the Layered Adjustable Autonomy (LAA) model. Basically, the number of actions that the agents need to do to complete a particular task determines the task's deliberation intensity....
Improving autonomous agents' awareness has aroused a great deal of interests in agent research. The objective is to formulate an approach that provides advanced awareness capabilities in the agents' behaviour. In this paper, we explore the techniques proposed in the literature that have been adopted to enable agents' awareness which are Active Perception (AP), Situation Awareness (SA) and Context...
Documentation processing workflow presents in daily life business and these tasks are adhered to stipulated time-frame. Most of the agent-based simulation systems in this area are customized to a domain specific problem. A generic agent-based simulation model is expected to help verify, assess and validate processes or tasks in time-constrained workflow management. This paper reviews some domain-specific...
In this paper, we propose a norms mining technique for a visitor agent to detect the norms of a community of local agents to comply with the community's normative protocol. In this technique, the visitor agent is equipped with an algorithm, which detects the potential norms through the system's log file, interactions with the local agents, and observing the local agents in action. The visitor agent...
In this paper, we present a framework for resolving conflicts between personal and normative goals in normative agent systems. The conflicts occur in the decision making process of time-constrained tasks of those goals. The agents observe the environment, generate the tasks based on their obligation to an authority, their desires, and intentions. They select and execute the tasks from a set of pre-compiled...
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