Task assignment with controlled and autonomous agents

Task assignment with controlled and autonomous agents

We analyse assignment problems in which not every agent is controlled by the central planner. The autonomous agents search for vacant tasks guided by their own preference orders over available tasks. The goal of the central planner is to maximise the total value of the assignment, taking into account the behaviour of the uncontrolled agents. Such optimisation problems arise in numerous real-wor...

Negotiation and Task Sharing Among Autonomous Agents in Cooperative Domains

This work uses the language of game theory to analyze negotiation among automated agents in cooperative domains. However, while game theory generally deals with negotiation in continuous domains and among agents with full information, this research considers discrete domains and the case where agents have only partial information, assumptions of greater interest for artificial intelligence.

Autonomous Environment and Task Adaptation for Robotic Agents

This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments. We propose modeland test-based transformational learning (MTTL) as a novel computational model for performing this task. MTTL uses abstract models of control systems and environments in order to propose promising ada...

Task Assignment with Unknown Duration

the evaluation of language related engagment and task related engagment with the purpose of investigating the effect of metatalk and task typology

abstract while task-based instruction is considered as the most effective way to learn a language in the related literature, it is oversimplified on various grounds. different variables may affect how students are engaged with not only the language but also with the task itself. the present study was conducted to investigate language and task related engagement on the basis of the task typolog...