A Multi-Agent System (MAS) is a cooperation focused implementation of multiple programs (agents) that coordinate with each other to attempt to converge on the solution to one or more tasks. Agent negotiation is the convergence upon this solution through compromise and communication. Currently, the implementation of agents is highly dependent on the programming language, and any perspective to t...

The challenge of creating a real-life computational equivalent of the human mind is now attracting the attention of many scientific groups from different areas of cybernetics and Artificial Intelligence such as computational neuroscience, cognitive science, biologically inspired cognitive architectures etc. The paper presents a new cognitive architecture based on insertion modeling, one of the ...

One approach to modeling multi-agent systems (MAS) is to employ a method that defines components which describe the local behavior of individual agents, as well as a special component, called a coordinator. The coordinator component coordinates the resource-sharing behavior among the agents. The agent models define a set of local plans, and the combination of local plans and a coordinator defin...

Most existing formal models of goals [2, 3] assume that all goals are equally important and many only deal with achievement goals. Moreover, they do not guarantee that an agent’s goals will properly evolve when an action/event occurs, e.g. when the agent’s beliefs/knowledge changes or a goal is adopted or dropped. Also, most of these frameworks do not model the dependencies between goals and th...

OBJECTIVE Factors influencing long-term viability of an intermediated regional food supply network (food hub) were modeled using agent-based modeling techniques informed by interview data gathered from food hub participants. BACKGROUND Previous analyses of food hub dynamics focused primarily on financial drivers rather than social factors and have not used mathematical models. METHOD Based ...

Crowd control has become increasingly important in urbanized military operations such as peace keeping, riot control, disaster management, emergency evacuation, and rescue operations. In this paper, we describe an architecture for simulating virtual crowd to aid in the training, planning and decision making process in the area of military operations. Our system makes use of the light-weight age...

We describe the design and representation schemes used in constructing a prototype computational environment for modeling and simulating multi-agent software engineering processes. We refer to this environment as the Articulator. We provide an overview of the Articulator's architecture which identiies ve principal components. Three of these components, the knowledge meta-model, the software pro...

Multi-Agent Systems (MAS) is a promising software paradigm. Considered as a natural metaphor to modeling complex systems, MAS are applied to develop a wide range of applications. However, the developed system’s complexity is a hard obstacle to understand and maintain them. In this paper, some metrics are presented to measure the complexity of MAS. The proposition of these metrics is passed thro...

The talk describes insertion modeling methodology, its theory, implementation and applications. Insertion modeling is a methodology of model driven distributed system design. It is based on the model of interaction of agents and environments. Both agents and environments are characterized by their behaviors represented as the elements of continuous behavior algebra, a kind of the ACP with appro...