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The authors propose the agent-oriented approach for solving problems of IT project planning. The tasks hierarchy of a management planning system in IT projects is formed. Both the use case and context diagram of processes in project management planning are built. The simulation model of the multi-agent system on AnyLogic base is studied.
This article presents the simulation genetic algorithms with multi-agent system application to solve problems of collaboration and coordination, with the goal of minimizing the travel time of a fleet of drones. The experimental analysis compares the travel time of a deterministic algorithm versus a probabilistic algorithm in a multi-agent system with BDI architecture. The results show that the genetic...
We propose a mathematical framework for synthesizing motion plans for multi-agent systems that fulfill complex, high-level and formal local specifications in the presence of inter-agent communication. The proposed synthesis framework consists of desired motion specifications in temporal logic (STL) formulas and a local motion controller that ensures the underlying agent not only to accomplish the...
This paper presents a fully automated procedure for controller synthesis for multi-agent systems under coupling constraints. Each agent has dynamics consisting of two terms: the first one models the coupling constraints and the other one is an additional bounded control input. We aim to design these inputs so that each agent meets an individual high-level specification given as a Metric Interval Temporal...
In this paper, we investigate the coordination of a multi-agent system to achieve a high level plan. In, particular, we assume that this planning is decomposed in a sequence of simple control objectives. The coordination is carried out through event-based communications between the agents, and distributed control laws are synthesized to achieve each control objective according to a time-constraint...
This paper focuses on the power management of renewable energy based distributed generators (RDGs) installed in medium voltage distribution networks (DNs). The goal of the study is to propose a strategy that improves the operation of the distribution network by utilizing the available resources efficiently. This is achieved by continuously managing the output power from the RDGs to meet the required...
Paper present the conceptual model of creation of robotic intelligent system. Nowadays, robotic systems are entering into different areas of human activity. Most of the tasks executed by robots are supervised by human. Every year researchers suggesting new model and methods to develop intelligent, flexible, and robust autonomous systems. A robotic system should recognize the environment and executes...
The supply chain is considered as a network composed of heterogeneous structures geographically distributed, that processes a large volume of data which change instantly; it makes the task of logistics deciders very complex, hence the need for distributed intelligent systems, which provide services capable of absorbing the complexity of such networks, and meet the expectations of logistics managers...
Millions of people play online computer games every day. Massive Multiplay Online (MMO) Games suffer a great problem: Developing new content for games (especially for Role Play Games-RPG) is an highly expensive and time consuming task. On the other hand, Players usually complain of static and repetitive contents of games and a rapid decrease of their interest in the games is evident after main patches...
Future-generation SASs need to have the adaptive abilities to efficiently handle changes from different sources and to mitigate conflicts caused by multiple simultaneous changes. However, existing methods cannot simultaneously make Future-generation SASs have the above abilities. This paper proposes an adaptive system framework based on agent technology and search-based software engineering technology...
Usually, in the Multi-Agent System (MAS), a number of agents required to finish a job are known a priori. But, there are many situations in which it is not known prior that how many agents will exactly be required to finish the job, i.e., the rescue operation. The Multi-Agent Planning problems (MAP) contains collective (several agents are performing different actions at the same time such that the...
In this paper a Genetic Algorithm (GA) is used for solving underwater mission planning problem. The proposed genetic planner is capable of utilizing multiple Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs) in a mission plan, as well as running multiple tasks in parallel on the agent's level. The problem is described using STRIPS modeling language. The proposed planner shows...
In this paper, we aim at the development of a decentralized abstraction framework for multi-agent systems under coupled constraints, with the possibility for a varying degree of decentralization. The methodology is based on the analysis employed in our recent work, where decentralized abstractions based exclusively on the information of each agent's neighbors were derived. In the first part of this...
Robotic coordination is a crucial issue in the development of many applications in swarm robotics, ranging from mapping unknown and potentially dangerous areas to the synthesis of plans to achieve complex tasks such as moving goods between locations under resource constraints. In this context, stigmergy is a widely employed approach to robotic coordination based on the idea of interacting with the...
The software agents and multi-agent systems will be one of the landmark technologies in computer science that will bring extra theoretical power, methods and techniques that will broaden the field of computer applications. The objective of this paper is to use the software agents for extracting data from different sources intelligently and provide an optimal travel plan for a traveler. Planning for...
This article presents a method to transform a multi-agent planning (MAP) problem into single-agent tasks through a goal delegation process using a best-cost strategy. This research work combines different properties of planning methods that describe the state of the art of MAP. The planning approach takes into consideration the cost associated to the action and the action sequence related to the set...
Planning a suitable solution to adapt to software changes is the most important and fundamental ability of self-adaptive software (SAS). However, with the increasing complexities of managed resources, context and user preferences, existing self-adaptive planning approaches need to be improved to deal with the complex changes which are multiple, interrelated and evolving. Search-based optimization...
The decentralization of control and management in electrical grid is an important evolution to integrate distributed generation into the power grids ensuring power reliability, quality and safety. Microgrids and Multi-Agent Systems are considered the key to apply this evolution. This paper presents a Multi-Agent System architecture (developed in JADE) for Microgrid operation. Furthermore, a rule-based...
The increasing cost pressure on Intra-Logistics systems due to the global competition in Intra-Logistics systems motivates planners to decrease planning durations in order to stay cost efficient. Conversely, the rough planning of Intra- Logistics systems is a time consuming, complex task, whose progress is primarily driven by the experience of the planning team. Consequently, the planning is opaque...
In this paper, a hybrid control architecture based on multi-agent system is presented, with PID (Proportional Integral Derivative) guidance and control system designed for Vertical Take off and Landing Unmanned Aerial Vehicles (VTOL UAV). The issues of multi-agent system is resolved with a distributed hybrid structure, which gradually transforms abstract mission commands into real-time control signals...
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