Multi-agent systems have been adopted to build intelligent environment in recent years. It was claimed that energy efficiency and occupants' comfort were the most important factors for evaluating the performance o...
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ISBN:
(纸本)9789728865894
Multi-agent systems have been adopted to build intelligent environment in recent years. It was claimed that energy efficiency and occupants' comfort were the most important factors for evaluating the performance of modem work environment, and multi-agent systems presented a viable solution to handling the complexity of dynamic building environment. While previous research has made significant advance in some aspects, the proposed systems or models were often not applicable in a "shared environment". This paper introduces an ongoing project on multi-agent for building control, which aims to achieve both energy efficiency and occupants' comfort in a shared environment.
High-tech Virtual Enterprise (HTVE) is a complicated open tremendous system. It should deal with collaborative manufacture between independent entities with different functions in cooperated enterprises and effective ...
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ISBN:
(纸本)9780387759012
High-tech Virtual Enterprise (HTVE) is a complicated open tremendous system. It should deal with collaborative manufacture between independent entities with different functions in cooperated enterprises and effective integration of existing information system, business process and commerce rules. This paper combines the characteristics of separated topology organization structure in HTVE to establish its information management model and operational mechanism applying the distributed artificial intelligence approach. Then the Integrated Information Management Systems for Virtual Business in High-tech Enterprise under internet environment is constructed from the aspects of system arrangement, network module and function design. Therefore, the reconfigurable, reusable, scalable and dynamic mutual network-based cooperative commerce chains are realized.
distributed artificial intelligence attempts to integrate and coordinate the activities of multiple, intelligent problem solvers that come together to solve complex tasks in domains such as design, medical diagnosis, ...
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In recent years, there have been many efforts for distributing a big and complex duty among some agents in order to do it more simply. One of the theories that has received attention recently is called Embodiment. Acc...
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ISBN:
(纸本)9781479919710
In recent years, there have been many efforts for distributing a big and complex duty among some agents in order to do it more simply. One of the theories that has received attention recently is called Embodiment. According to this theory, in cooperation of a set of agents for performing a particular task, expertise might not be integrated in a centralized controller;rather it gradually spreads to component and agents. Based on this theory and despite the fact that the human brain is the main controller, expertise is integrated in the body organs gradually. In multi-agent systems a central controller controls and programs whole duties and jobs that agents should perform, this leads to have a very complicated central controller. While in embodiment systems, initially each agent with different structures are fed with some knowledge in the specific duty and then are placed together to accomplish a common task. Now, we will examine this issue that how much improvement is earned when every agent has got a specific amount of partial knowledge separately in comparison with whole structure is defined beforehand. We try to implement embodied system on legs of a quadruped and compare result with the multi-agent system.
Knoblock and Korf have determined that abstraction can reduce search at a single agent from exponential to linear complexity (Knoblock 1991;Korf 1987). We extend their results by showing how concurrent problem solving...
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Recent work in decentralized, schedule-driven traffic control has demonstrated the ability to improve the efficiency of traffic flow in complex urban road networks. In this approach, each time an agent generates a new...
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ISBN:
(纸本)9781450356497
Recent work in decentralized, schedule-driven traffic control has demonstrated the ability to improve the efficiency of traffic flow in complex urban road networks. In this approach, each time an agent generates a new intersection schedule it communicates its expected outflows to its downstream neighbors as a prediction of future demand and these outflows are appended to the downstream agent's locally perceived demand. In this paper, we extend this basic coordination protocol to additionally incorporate the complementary flow of information reflective of an intersection's current congestion level to its upstream neighbors. We present an asynchronous decentralized algorithm for updating intersection schedules and congestion level estimates based on these bi-directional information flows. By relating this algorithm to the self-optimized decision making of the basic protocol, we are able to approach network wide optimality and reduce inefficiency due to myopic intersection control decisions.
artificialintelligence (AI) is among the most influential technologies to improve daily lives and to promote further economic activities. Recently, a distributedintelligence, referred to as a global brain, has been ...
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ISBN:
(纸本)9781728199160
artificialintelligence (AI) is among the most influential technologies to improve daily lives and to promote further economic activities. Recently, a distributedintelligence, referred to as a global brain, has been developed to optimize mobile services and their respective delivery networks. Inspired by interconnected neuron clusters in the human nervous system, it is an architecture interconnecting various AI entities. This paper models the global brain architecture and communication among its components based on multi-agent system technology and graph theory. We target two possible scenarios for communication and propose an optimized communication algorithm. Extensive experimental evaluations using the Java Agent Development Framework (JADE), reveal the performance of the global brain based on optimized communication in terms of network complexity, network load, and the number of exchanged messages. We adapt activity recognition as a real-world problem and show the efficiency of the proposed architecture and communication mechanism based on system accuracy and energy consumption as compared to centralized learning, using a real testbed comprised of NVIDIA Jetson Nanos. Finally, we discuss emerging technologies to foster future global brain machine-learning tasks, such as voice recognition, image processing, natural language processing, and big data processing.
This paper summarises an invited talk given at the 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC' 12). It first delineates the emerging field of Agreement Technol...
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ISBN:
(纸本)9780769549347;9781467350266
This paper summarises an invited talk given at the 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC' 12). It first delineates the emerging field of Agreement Technologies, sketching its main technological building blocks and relating them to each other. A scheme is proposed to organise these building blocks outside of the traditional Agreement Technologies "layer cake", providing examples of how it can be used to relate different lines of research in the field.
Intelligent agents and multiagent systems (MAS) provide a scalable approach to distributed artificial intelligence [3]. Analogous to intelligent biological entities, agent-based computational systems may become quite ...
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ISBN:
(纸本)9781450327381
Intelligent agents and multiagent systems (MAS) provide a scalable approach to distributed artificial intelligence [3]. Analogous to intelligent biological entities, agent-based computational systems may become quite complex. Some may consist of multiple cooperating groups, each providing a specialized subset of the total required functionality [4, 6]. My work focuses on engineering multigroup agents in cooperative intelligent systems. A reusable multigroup agent architecture has been developed, along with a simulation framework and recommended software engineering practices, to support the implementation of multigroup applications. The architecture is being used to evaluate power quality control algorithms for electrical power distribution systems (PDS).
Inland waterway management should undergo heavy changes due to a commitment to increase the waterway traffic in a context of climate change. These new constraints will impose an adaptive and resilient management of th...
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Inland waterway management should undergo heavy changes due to a commitment to increase the waterway traffic in a context of climate change. These new constraints will impose an adaptive and resilient management of the water resource. The aim is to plan optimally the water resource distribution over the integrity of the inland waterway network, while taking into account the uncertainties arising from their operation. Due to the large size of waterways, a centralized modeling would not be able to represent an entire network. A distributed Markov Decision Process modeling of inland waterways associated with a resolution algorithm is proposed to allow full scalability, at the cost of optimality. The proposed approach is tested on a subnetwork composed of 7 reaches. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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