Communication in reactive multiagent robotic systems
Autonomous Robots
KQML as an agent communication language
Software agents
The vehicle routing problem
Scheduling Algorithms
Plan-Based Multi-robot Cooperation
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Scheduling and constraint propagation
Discrete Applied Mathematics
Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments
Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
Distributed decision-making and task coordination in dynamic, uncertain and real-time multiagent environments
Complex Scheduling (GOR-Publications)
Complex Scheduling (GOR-Publications)
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Methods for task allocation via agent coalition formation
Artificial Intelligence
The traveling salesman: computational solutions for TSP applications
The traveling salesman: computational solutions for TSP applications
Co-ordination in artificial agent societies: social structures and its implications for autonomous problem-solving agents
Multi-robot, dynamic task allocation: a case study
Intelligent Service Robotics
Non-additive multi-objective robot coalition formation
Expert Systems with Applications: An International Journal
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DEMiR-CF is a generic framework designed for a multirobot team to efficiently allocate tasks among themselves and achieve an overall mission. In the design of DEMiR-CF, the following issues were particularly investigated as the design criteria: efficient and realistic representation of missions, efficient allocation of tasks to cooperatively achieve a global goal, maintenance of the system coherence and consistency by the team members, detection of the contingencies and recover from various failures that may arise during runtime, efficient reallocation of tasks (if necessary) and reorganization of team members (if necessary). DEMiR-CF is designed to address different types of missions from the simplest to more complex ones, including missions with interrelated tasks and multi-resource (robot) requirements. Efficiency of the framework is validated through experiments in three different types of domains.