适性化多代理人网际网路环境资讯侦搜.pptx

適性化多代理人網際網路環境資訊偵搜 Collaborative Multiagent Adaptation for Business Environmental Scanning through the Internet ;Outline;Introduction;UCRES: User-centered, Continuous, and Resource-bounded ES Goal clallenges Finding IOI continuously Timeliness (TES): minimizing the average time delay of finding IOI Completeness (CES): maximizing the percentage of IOI found Controlling the resource consumed Effectiveness (EES): maximizing the possibility of finding IOI in each inquiry of data Considering the preferences of the user (i.e. adding importance weights to TES, CES, and EES) Weighted TES Weighted CES Weighted EES;Related multiagent technology for UCRES Information gathering agents Aiming to satisfy users one-shot needs, e.g. Intelligently locating the information with the additional consideration of time/cost/quality tradeoffs, and Filter out irrelevant information But when and how frequently to scan for IOI? Information monitoring agents Aiming to monitor a predefined set of targets periodically or adaptively But where to find the IOI to monitor?;Adaptive agents for decision support Aiming to provide tailored information for supporting decision making Adapting to what to monitor by observing the user’s preference and/or problem solving strategies But when and how frequently to scan for IOI? Multiagent coordination bidding Aiming to resolve conflicts and build consensus among the agents But how to define a coordination and/or bidding protocol for UCRES? ;Learning for multiagent coordination, bidding, and organization Aiming to learn How the actions affect each other, What information is required for coordination, When to trigger agent coordination, Usage of what the agents are bidding for, Restructuring of the organization for coordination and collaboration But how to simultaneously adapt to User’s preference IOI’s distribution in the Internet Update behavior of the IOI Limited amount of resource;9、要学生做的事，教职员躬亲共做；要学生学的知识，教职员躬亲共学；要学生守的规则，教职员躬亲共守。6月-216月-21Wedne