International Foundation for Autonomous Agents and Multiagent Systems

Displaying 1-11 of 11 results

  • White Papers // Jun 2012

    A Storage Pricing Mechanism for Learning Agents in Masdar City Smart Grid

    The growing threat of climate change and the depletion of non-renewable energy sources have led to the growth of sustainable development projects. In particular, sustainable urban development has been advocated as one of the factors in changing the way the authors produce and use energy. For example, urban planning in...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // Jun 2010

    Shaping Fitness Functions for Coevolving Cooperative Multiagent Systems

    Co-evolution is a natural approach to evolve teams of agents which must cooperate to achieve some system objective. However, in many co-evolutionary approaches, credit assignment is often subjective and context dependent, as the fitness of an individual agent strongly depends on the actions of the agents with which it collaborates....

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Automated Negotiation With Decommitment for Dynamic Resource Allocation in Cloud Computing

    This paper consider the problem of allocating networked resources in dynamic environment, such as cloud computing platforms, where providers strategically price resources to maximize their utility. Resource allocation in these environments, where both providers and consumers are selfish agents, presents numerous challenges since the number of consumers and their resource...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Using Training Regimens to Teach Expanding Function Approximators

    In complex real-world environments, traditional (tabular) techniques for solving Reinforcement Learning (RL) do not scale. Function approximation is needed, but unfortunately, existing approaches generally have poor convergence and optimality guarantees. Additionally, for the case of human environments, it is valuable to be able to leverage human input. In this paper...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Spectrum Management of Cognitive Radio Using Multi-Agent Reinforcement Learning

    Wireless Cognitive Radio (CR) is a newly emerging paradigm that attempts to opportunistically transmit in licensed frequencies, without affecting the pre-assigned users of these bands. To enable this functionality, such a radio must predict its operational parameters, such as transmit power and spectrum. These tasks, collectively called spectrum management, is...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    A Decentralised Coordination Algorithm for Minimising Conflict and Maximising Coverage in Sensor Networks

    In large wireless sensor networks, the problem of assigning radio frequencies to sensing agents such that no two connected sensors are assigned the same value (and will thus interfere with one another) is a major challenge. To tackle this problem, the authors develop a novel decentralised coordination algorithm that activates...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Decentralized Hash Tables For Mobile Robot Teams Solving Intra-Logistics Tasks

    Although a remarkably high degree of automation has been reached in production and intra-logistics nowadays, human labor is still used for transportation using handcarts and forklifts. High labor cost and risk of injury are the undesirable consequences. Alternative approaches in automated warehouses are fixed installed conveyors installed either overhead or...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // Feb 2010

    Agent-Based Micro-Storage Management for the Smart Grid

    The use of energy storage devices in homes has been advocated as one of the main ways of saving energy and reducing the reliance on fossil fuels in the future Smart Grid. However, if micro-storage devices are all charged at the same time using power from the electricity grid, it...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2009

    Decentralised Control of Adaptive Sampling and Routing in Wireless Visual Sensor Networks

    The efficient management of the limited energy resources of a wireless visual sensor network is central to its successful operation. Within this context, this paper focuses on the inter-dependent adaptive sampling and routing actions of each node in order to maximise the information value of the data collected. Thus, authors...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2009

    An Agent-Based Sensor Middleware for Generating and Interpreting Digital Product Memories

    Automatic identification technology such as the Radio Frequency IDentification (RFID) technology has significant value for production processes, supply chain management, and inventory systems. For future purposes the idea of storing a simple ID must be extended to a Digital Product Memory. This memory provides a digital diary of the complete...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2008

    Checking Correctness of Business Contracts via Commitments

    Business contracts tend to be complex. In current practice, contracts are often designed by hand and adopted by their participants after, at best, a manual analysis. This paper motivates and formalizes two aspects of contract correctness from the perspective of the preferences of the agents participating in them. A contract...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // Feb 2010

    Agent-Based Micro-Storage Management for the Smart Grid

    The use of energy storage devices in homes has been advocated as one of the main ways of saving energy and reducing the reliance on fossil fuels in the future Smart Grid. However, if micro-storage devices are all charged at the same time using power from the electricity grid, it...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2009

    Decentralised Control of Adaptive Sampling and Routing in Wireless Visual Sensor Networks

    The efficient management of the limited energy resources of a wireless visual sensor network is central to its successful operation. Within this context, this paper focuses on the inter-dependent adaptive sampling and routing actions of each node in order to maximise the information value of the data collected. Thus, authors...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Automated Negotiation With Decommitment for Dynamic Resource Allocation in Cloud Computing

    This paper consider the problem of allocating networked resources in dynamic environment, such as cloud computing platforms, where providers strategically price resources to maximize their utility. Resource allocation in these environments, where both providers and consumers are selfish agents, presents numerous challenges since the number of consumers and their resource...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Using Training Regimens to Teach Expanding Function Approximators

    In complex real-world environments, traditional (tabular) techniques for solving Reinforcement Learning (RL) do not scale. Function approximation is needed, but unfortunately, existing approaches generally have poor convergence and optimality guarantees. Additionally, for the case of human environments, it is valuable to be able to leverage human input. In this paper...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Spectrum Management of Cognitive Radio Using Multi-Agent Reinforcement Learning

    Wireless Cognitive Radio (CR) is a newly emerging paradigm that attempts to opportunistically transmit in licensed frequencies, without affecting the pre-assigned users of these bands. To enable this functionality, such a radio must predict its operational parameters, such as transmit power and spectrum. These tasks, collectively called spectrum management, is...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    A Decentralised Coordination Algorithm for Minimising Conflict and Maximising Coverage in Sensor Networks

    In large wireless sensor networks, the problem of assigning radio frequencies to sensing agents such that no two connected sensors are assigned the same value (and will thus interfere with one another) is a major challenge. To tackle this problem, the authors develop a novel decentralised coordination algorithm that activates...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2010

    Decentralized Hash Tables For Mobile Robot Teams Solving Intra-Logistics Tasks

    Although a remarkably high degree of automation has been reached in production and intra-logistics nowadays, human labor is still used for transportation using handcarts and forklifts. High labor cost and risk of injury are the undesirable consequences. Alternative approaches in automated warehouses are fixed installed conveyors installed either overhead or...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2009

    An Agent-Based Sensor Middleware for Generating and Interpreting Digital Product Memories

    Automatic identification technology such as the Radio Frequency IDentification (RFID) technology has significant value for production processes, supply chain management, and inventory systems. For future purposes the idea of storing a simple ID must be extended to a Digital Product Memory. This memory provides a digital diary of the complete...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // Jun 2010

    Shaping Fitness Functions for Coevolving Cooperative Multiagent Systems

    Co-evolution is a natural approach to evolve teams of agents which must cooperate to achieve some system objective. However, in many co-evolutionary approaches, credit assignment is often subjective and context dependent, as the fitness of an individual agent strongly depends on the actions of the agents with which it collaborates....

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // Jun 2012

    A Storage Pricing Mechanism for Learning Agents in Masdar City Smart Grid

    The growing threat of climate change and the depletion of non-renewable energy sources have led to the growth of sustainable development projects. In particular, sustainable urban development has been advocated as one of the factors in changing the way the authors produce and use energy. For example, urban planning in...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems

  • White Papers // May 2008

    Checking Correctness of Business Contracts via Commitments

    Business contracts tend to be complex. In current practice, contracts are often designed by hand and adopted by their participants after, at best, a manual analysis. This paper motivates and formalizes two aspects of contract correctness from the perspective of the preferences of the agents participating in them. A contract...

    Provided By International Foundation for Autonomous Agents and Multiagent Systems