36 results about "Agent architecture" patented technology

A highly mobile, ambient computing environment is disclosed for serving a knowledge worker away from the their desk. The present invention allows a knowledge worker to get increased leverage from personal, networked, and interactive computing devices while in their car, airplane seat, or in a conference room with others. An Open Agent Architecture is used to incorporate elements such as GPS agents, speech recognition, and opportunistic connectivity among meeting participants. Communication and cooperation between agents are brokered by one or more facilitators, which are responsible for matching requests, from users and agents, with descriptions of the capabilities of other agents. It is not generally required that a user or agent know the identities, locations, or number of other agents involved in satisfying a request, and relatively minimal effort is involved in incorporating new agents and “wrapping” legacy applications. Extreme flexibility is achieved through an architecture organized around the declaration of capabilities by service-providing agents, the construction of arbitrarily complex goals by users and service-requesting agents, and the role of facilitators in delegating and coordinating the satisfaction of these goals, subject to advice and constraints that may accompany them.

A system is described for managing messages, communications and / or documents comprising: a plurality of task agents, each task agent to perform one or more specified message processing actions, document processing actions, and / or communications processing actions on different types of messages, documents and / or communication channels, respectively; and one or more manager agents to coordinate the actions of the plurality of task agents responsive to a plurality of message and / or document processing rules.

Method and agent network architecture for processing a subject message, where each agent has a view of its own domain of responsibility. An initiator agent which receives a user-input request and does not itself have a relevant interpretation policy, queries its downchain agents whether the queried agent considers such message to be in its domain of responsibility. Each queried agent recursively determines whether it has an interpretation policy of its own that applies to the request, and if not, further queries its own further downchain neighboring agents. The further agents eventually respond to such further queries, thereby allowing the first-queried agents to respond to the initiator agent. The recursive invocation of this procedure ultimately determines one or more paths through the network from the initiator agent to one more more leaf agents. The request is then transmitted down the path(s), with each agent along the way taking any local action thereon and passing the message on to the next agent in the path. In the event of a contradiction, the network is often able to resolve many of such contradictions according to predetermined algorithms. If it cannot resolve a contradiction automatically, it learns new interpretation policies necessary to interpret the subject message properly. Such learning preferably includes interaction with the user (but only to the extent necessary), and preferably localizes the learning close to the correct leaf agent in the network.

A communication system having a proxy architecture is disclosed. The system includes a platform that provides performance enhancing functions. The platform includes a path selection / activation apparatus that routes information within a communication system. The path selection / activation apparatus receives path selection and path activation parameters from the platform and maintains the current parameters in one or more path selection / activation profiles. The path selection / activation apparatus routes packets of information throughout the communication system based on the path selection and / or path activation profile. The above arrangement has particular applicability to a bandwidth constrained communication system, such as a satellite network.

A high availability (HA) Identity Bridge (IDBridge) between an on-premises Active Directory (AD) and a cloud-based Identity Cloud Service (IDCS) is provided. A connection to an AD, coupled to a first network, is established. A connection to an IDCS, coupled to a second network, is established, the IDCS including a System for Cross-domain Identity Management (SCIM) directory. A plurality of selectable AD OUs are displayed in a GUI, and a selection of one or more OUs is then received. Each member group of the selected OUs is displayed in the GUI, and a selection of one or more member groups of the selected OUs is then received. The users of the selected OUs and the selected member groups of the selected OUs are monitored to identify users and groups that have been added, modified or deleted. The identified users and groups are then synchronized to the SCIM directory.

A method and architecture for efficiently solving complex distributed problems uses coevolutionary agents incorporating evolutionary algorithms located at different nodes in a distributed network. The coevolutionary agents conduct localized database searches and evolve at their respective nodes while sharing information with other coevolutionary agents working the same problem. Results or solutions to the problem posed are available at each network node containing a coevolutionary agent working the problem.

A communication system having a proxy architecture is disclosed. The system includes a platform that provides performance enhancing functions. The platform includes a backbone connection apparatus that routes information within a communication system. The backbone connection apparatus receives backbone connection parameters from the platform and maintains the current parameters in one or more backbone connection profiles. The backbone connection apparatus routes packets of information throughout the communication system based on the backbone connection profile. The backbone connection apparatus supports the use of different backbone protocol for different types of backbone links. Further, in a configuration where multiple backbone links of different types exist, the backbone connection apparatus supports the use of a different backbone protocol for each type of link at the same time. The above arrangement has particular applicability to a bandwidth constrained communication system, such as a satellite network.

A swarming agent architecture provides a distributed, decentralized, agent-based computing environment applicable to ground-based surveillance. The approach, called Sensor Network Integration through Pheromone Fusion, or “SNIPF,” provides an end-to-end demonstration that integrates self-contained sensor / communication nodes with novel swarming algorithms to detect foot and vehicular movement through a monitored area with minimal configuration and maintenance. A plurality of computational nodes distributed within the environment and, depending upon the way in which they are deployed, the various nodes are operative to sense the local environment, receive a message from a neighboring node, and transmit a message to a neighboring node. Given these capabilities, the nodes can collectively determine the presence and / or movement of a target and communicate this information to a user. Though not required, the system may include nodes that are capable of collectively determining the speed and heading of a target, and the gathered intelligence may be communicated to users within, and external to, the environment. A particularly useful configuration may include one or more ‘free’ nodes having relatively limited communications and computational power, and one or more anchor nodes equipped with GPS and / or long-distance communications capabilities.

A software architecture at a target computer is provided in which it is desired to trigger execution of target processes by an agent process which receives operation specifying data which has been autonomously generated by an initiating computer. The agent process parses this operation specifying data, which may be XML data, to identify the target processes concerned. The target processes are independent of the agent process and the agent process triggers their operation and passes any required parameter data to them. The target processes may also return data to the initiating computer via the agent process and embedded within the XML data structure.

A distributed multiprotocol proxy in the computer network technical field and method of exchanging center system message; in the present invention, a center and agent management model are constructed; the agent sends message exchanging form XML file to the center in which comprises an unique ID identifier distributed to the agent by the center; after the center verifies that the agent is legal, the agent and the center exchange the message through the XML file; the center monitors the state of the agent in real-time through the analyzing XML file sent by the agent, and processes protocol collection data at the late stage; the center sends the configuration file, management file to the agent through synchronous mechanism so as to realize the dynamic management to the agent. The present invention realizes the independency between the application protocol and message, the independency between the center and the agent, improves the mutual operation ability between the center and the agent, strengthens the safety, reliability between the center and the distributed agent communication, effectively and rapidly solves the problems of communication and cooperating between the center and agent framework.

The invention relates to a resource allocation and unloading decision-making method based on multi-agent architecture reinforcement learning, and belongs to the technical field of mobile communication. According to the method, excitation constraints, energy constraints and network resource constraints are considered, wireless resource allocation, computing resource allocation and unloading decisions are jointly optimized, and a random optimization model for maximizing the QoE of a total user of a system is established and converted into an MDP problem. Secondly, according to the method, an original MDP problem is subjected to factorization, and a Markov game model is established; then, the method provides a centralized training and distributed execution mechanism based on an actor-evaluator algorithm. In the centralized training process, multiple agents obtain global information through cooperation, resource allocation and task unloading decision strategy optimization are achieved, andafter the training process is finished, all the agents independently conduct resource allocation and task unloading according to the current system state and strategy. According to the invention, theQoE of the user can be effectively improved, and the time delay and the energy consumption are reduced.

The invention relates to distributed virtual machine agent architecture based on a cloud environment. A user virtual machine is expanded by use of the credible technology so as to create required environments suitable for various modules in the virtual machine agency, and the whole design system has flexibility and expandability and is cross-platform; the virtual machine agency is dynamically generated and has a certain life cycle, so that the function modification and expansion are simple and convenient. The invention further relates to a data integrity guaranteeing method of the distributed virtual machine agent architecture based on the cloud environment, the data is monitored in real time by use of a dynamic virtual machine agent technology based the cloud environment, the integrity of the data is effectively guaranteed, and the security and efficiency of the actual work are improved.

The invention discloses a model center construction method among heterogeneous scheduling systems based on agency service, comprising: constructing a model service agent architecture based on on-demand sharing; and creating a bidirectional subscription issue method based on a plant-station model version, a model center model maintenance privilege management method, and a heterogeneous scheduling subsystem and model center area model comparison method. A model center can realize power grid model distribution and maintenance and whole network instant sharing of whole network physical model consistent storage, solve the problems of complex flow, poor instantaneity, incomplete splicing data, poor expansibility, etc. of a distributed modeling method of forming a large power grid model in a model splicing mode, and guarantee great consistency of each power grid model connected to a model center system. The model center construction method among heterogeneous scheduling systems solves the problems of model fusion, interaction efficiency, security and model partition maintenance in the construction of a model center among heterogeneous scheduling systems.

The invention discloses an intelligent factory management and control model and a management and control method thereof, and belongs to the field of intelligent manufacturing. According to the method,establishing a hierarchical and modular micro-service-multi-agent architecture parallel to an actual manufacturing system, carrying out fine-grained division, and establishing a production task as adistributed processing micro-service model and an attribute model; dividing a multi-agent model according to the function distinction of production resources; and establishing a service management model of the parallel system based on data and knowledge hybrid driving. And for different manufacturing systems, analyzing the relationship among the task attributes, the micro-services and the multipleagents, and selecting an optimal agent path by using an adaptive evolution algorithm. The micro-service-multi-agent architecture disclosed by the invention has the capability of finely controlling production resources by a multi-agent system, meanwhile, the support of the micro-service architecture on customized business requirements can be realized, and a model basis is provided for solving a self-adaptive scheduling problem in a production process.

The invention discloses a remote file control system based on routers. The remote file control system comprises a server and the routers. The server comprises a server API transit and a server channel terminal. Each router comprises an operating system, an Http file proxy framework, a router channel terminal, an interface layer, a hardware abstraction layer, an API framework and storage equipment. The server channel terminal is communicated with the router channel terminals. Each operating system is an embedded Linux system OpenWrt, each Http file proxy framework is an Nginx proxy server, access urls are planned in a unified mode, and resources on the communicated equipment are stored in a transparent mode.

The invention discloses a multi-Agent based network direct sales system. The system comprises an interface Agent module, a management Agent module, an evaluation Agent module, a search Agent module and a purchase Agent module, wherein the interface Agent module is coupled to the management Agent module; the management Agent module is coupled to the interface Agent module, the evaluation Agent module, the search Agent module and the purchase Agent module; the evaluation Agent module is coupled to the management Agent module; the search Agent module is coupled to the management Agent module; and the purchase Agent module is coupled to the management Agent module. A conventional direct sales system application architecture is not a multi-Agent architecture; and the multi-Agent based network direct sales system has the characteristics that the advantages of a multi-Agent technology are combined with a commercial behavior of direct sales, and a direct sales online shopping behavior in the reality is truly simulated, so that the direct sales system is more active and flexible, adaptive, extensible and the like in comparison with the conventional system.

An agent architecture may be provided with base functionality that allows it to run without executing any applications. The base application need not have any modules. When functionality is desired, modules may be added. The agent may receive policies and procedures from a controller, and executes the modules based on the policies and procedures. It may then return and report information. This allows a system to be designed that doesn't have to be recompiled upon changes to individual tasks or applications, which greatly eases development of new tasks and applications.

A method implemented by a network element functioning as a home agent (HA) for a mobile node (MN) communicating with a corresponding node (CN) using Mobile Internet Protocol version 6 (MIPv6), the method including selecting by the HA a virtual home agent (VHA) in the network to provide home agent services to the MN with a better quality of service than the HA, sending a flow switch request (FSR) message to the selected VHA, the FSR message including a home keygen token, an address of the CN and a care-of address of the MN, the FSR message to cause the selected VHA to direct the CN to send data traffic for the MN to the selected VHA instead of the HA, and receiving a flow switch acknowledgement (FSA) message from the VHA indicating that the selected VHA has successfully redirected the data traffic from the CN to the MN.

The invention provides an Agent construction method and an Agent construction device of an information physical fusion system CPS, wherein the method and the device belong to an information field. The method and the device are used for settling a problem of incapability of satisfying a requirement of fusion of calculation, communication and control through combining software Agent and hardware Agent. The method comprises the steps of according to a time-space event, determining eight-tuple information of a first time-space event from the time-space event, wherein the eight-tuple information is <CPS-Agent ID,Ability,Execution Condition,Status,Priority,Parameters set,Task,Related CPS-Agents>; and determining a CPS-Agent architecture and a CPS-Agent construction template of the first time-space event according to the eight-tuple information, wherein the CPS-Agent architecture comprises a perception component, a real-time knowledge database, a decision component, a real-time inference rule and an optimization component. The perception component comprises inner system communication and external physical environment perception and is used for supplying a basis for state migration of the CPS-Agent and interaction with the external physical environment. The CPS-Agent construction template comprises a CPS-Agent information block and a CPS-Agent execution block.

The invention discloses a user data preprocessing system for link prediction relation recommendation. The data preprocessing system comprises a link prediction relation recommendation layer, a data layer, a data processing layer, a system management layer, a service layer, an application layer, a data access layer and a view layer. According to the invention, a data preprocessing overall framework of a multi-agent architecture is constructed by analyzing the characteristics of a specific preprocessing algorithm and obtaining a corresponding intelligent recommendation scheme. The framework integrates the functions of a preprocessing algorithm, user interaction, system scheduling and the like into the whole system; the link prediction relation layer enables the framework to have openness and expandability, and provides support for preprocessing tasks under different backgrounds; aiming at the intelligent problem of the data preprocessing system, the knowledge discovery model agent describes each part of the data preprocessing process; a scientific algorithm recommendation scheme is provided for a user in a knowledge base mode, and intelligent recommendation of an algorithm is achieved through the knowledge classification capacity of a rough set theory.

The present development relates to a system implementing a multi-agent BDI architecture to control in real time, and in a concurrent and cooperative manner, robotic devices reproducing a series of events defined by a user. The system described herein comprises executing BDI agents in charge of controlling actions executed by robotic devices, a director BDI agent responsible for configuring each executing BDI agent and monitoring the execution of actions, and an interpreting BDI agent through which a user interacts with the system, specifies actions to take and receives status and notifications of progress. Executing BDI agents include a cooperation module with which they communicate with other executing BDI agents, thereby allowing the synchronization of actions. Additionally, each executing BDI agent includes a robot state module with which the emotional expression of the executing BDI agent modulates actions of the robotic device.

The invention discloses a method based on distributed fault injection, which comprises the following steps: A, selecting a specified application and a corresponding server for drilling, and initiatinga calling request of fault injection by calling a corresponding fault initiating interface; b, after fault injection calling is initiated, detecting whether a server registers an agent service or notand whether a fault injection toolkit is installed or not; c, initiating interface calling by the server, performing corresponding fault injection, and verifying whether the fault injection is validor not through monitoring and commands; and D, after fault injection verification is completed, destroying fault injection, monitoring a real-time state through the agent registration center, and determining whether fault injection destroying succeeds or not. The full-process automatic operation can be quickly deployed and injected, and the execution efficiency is high; and the interface and pageoperations are used, so that misoperation caused by manual execution is effectively avoided, accurate injection can be realized, meanwhile, a server-agent architecture mode is adopted, upgrading without perception of a user can be carried out, and the expansibility is good.

The invention provides an Agent construction method and an Agent construction device of an information physical fusion system CPS, wherein the method and the device belong to an information field. The method and the device are used for settling a problem of incapability of satisfying a requirement of fusion of calculation, communication and control through combining software Agent and hardware Agent. The method comprises the steps of according to a time-space event, determining eight-tuple information of a first time-space event from the time-space event, wherein the eight-tuple information is <CPS-Agent ID,Ability,Execution Condition,Status,Priority,Parameters set,Task,Related CPS-Agents>; and determining a CPS-Agent architecture and a CPS-Agent construction template of the first time-space event according to the eight-tuple information, wherein the CPS-Agent architecture comprises a perception component, a real-time knowledge database, a decision component, a real-time inference rule and an optimization component. The perception component comprises inner system communication and external physical environment perception and is used for supplying a basis for state migration of the CPS-Agent and interaction with the external physical environment. The CPS-Agent construction template comprises a CPS-Agent information block and a CPS-Agent execution block.

An agent architecture may be provided with base functionality that allows it to run without executing any applications. The base application need not have any modules. When functionality is desired, modules may be added. The agent may receive policies and procedures from a controller, and executes the modules based on the policies and procedures. It may then return and report information. This allows a system to be designed that doesn't have to be recompiled upon changes to individual tasks or applications, which greatly eases development of new tasks and applications.