Virtual interface agents that adapt to user emotion and interest

2015 ◽  
Author(s):  
Helmut Prendinger ◽  
Mitsuru Ishizuka
Keyword(s):  
Virtual Interface ◽  
Interface Agents

3D virtual interface for ubiquitous intelligent environments

2007 ◽  
Author(s):  
K.I.-K. Wang ◽  
I.Y.-H. Chen ◽  
W.H. Abdulla ◽  
Z. Salcic ◽  
B.C. Wunsche
Keyword(s):  
Intelligent Environments ◽  
Virtual Interface

Interface agents as surrogate users

intelligence ◽  
2000 ◽  
Vol 11 (2) ◽  
pp. 28-38 ◽  
Author(s):  
Robert St. Amant
Keyword(s):  
Interface Agents

COORDINATION OF MULTIPLE INTELLIGENT SOFTWARE AGENTS

1996 ◽  
Vol 05 (02n03) ◽  
pp. 181-211 ◽  
Author(s):  
KATIA SYCARA ◽  
DAJUN ZENG
Keyword(s):  
System Architecture ◽  
Information Needs ◽  
Software Agents ◽  
User Preferences ◽  
Organizational Decision Making ◽  
Interface Agents ◽  
Intelligent Software ◽  
Information Agents ◽  
Agent Collaboration ◽  
Guide System

We are investigating techniques for developing distributed and adaptive collections of information agents that coordinate to retrieve, filter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types of agents: Interface agents interact with the user receiving user specifications and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We have implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making, investment counseling, health care and electronic commerce.

AGENT-BASED SYSTEM ARCHITECTURE FOR DYNAMIC AND OPEN ENVIRONMENTS

2003 ◽  
Vol 02 (01) ◽  
pp. 105-133 ◽  
Author(s):  
ELHADI SHAKSHUKI ◽  
HAMADA GHENNIWA ◽  
MAHAMED KAMEL
Keyword(s):  
System Architecture ◽  
Rapid Growth ◽  
Dynamic Environment ◽  
Information Gathering ◽  
Information Resources ◽  
Architecture Design ◽  
Agent Based ◽  
Interface Agents ◽  
Multi Agent ◽  
Computing Environments

The rapid growth of the network-centered (Internet and Intranet) computing environments requires new architectures for information gathering systems. Typically, in these environments, the information resources are dynamic, heterogeneous and distributed. In addition, these computing environments are open, where information resources may be connected or disconnected at any time. This paper presents an architecture for a multi-agent information gathering system. The architecture includes three types of agents: interface, broker and resource agents. The interface agents interact with the users to fulfill their interests and preferences. The resource agents access and capture the content of the information resources. The broker agents facilitate cooperation among the information and the resource agents to achieve their desired goals. This paper provides the agents' architecture, design and implementations that enable them to cooperate, coordinate and communicate with each other to gather information in an open and dynamic environment.

A high-speed and low-cost storage architecture based on virtual interface

2007 ◽  
Vol 1 (4) ◽  
pp. 478-492
Author(s):  
Lingfang Zeng ◽  
Dan Feng ◽  
Zhan Shi ◽  
Jianxi Chen ◽  
Qingsong Wei ◽  
...  
Keyword(s):  
High Speed ◽  
Low Cost ◽  
Virtual Interface

Virtual Interface

1997 ◽  
pp. 133-152
Author(s):  
Cyrus Bamji ◽  
Ravi Varadarajan
Keyword(s):  
Virtual Interface

scholarly journals Implementasi Virtual Interface Menggunakan Metode EOIP Tunnel Pada Jaringan WAN PT. Indo Matra Lestari

2020 ◽  
Vol 6 (1) ◽  
pp. 103-110
Author(s):  
Sidik Sidik ◽  
Ade Sudaryana ◽  
Rame Santoso
Keyword(s):  
Data Center ◽  
Data Access ◽  
Local Network ◽  
Virtual Interface ◽  
Head Office ◽  
Secure Network ◽  
Pass Through ◽  
Point To Point ◽  
Access To Data ◽  
Branch Office

Computer networks have become an important point in companies that have many branch offices to coordinate the transfer of data. PT Indo Matra Lestari's connection uses a VPN system using the PPTP method. Data Center is used as a VPN server, the client is the Head Office and Citereup Branch Offices. Between the Head Office and the Citereup Branch Office there is no direct connection so access to data made between the Head Office and the Citereup Branch Office is slow, because the data must pass through the Data Center before reaching its destination. Moreover, the data accessed is private to the company and only accessed on the local network. The solution used to create a direct and secure network path between the Head Office and Branch Offices is to use the EoIP Tunnel on the proxy router. Tunneling method in EoIP can make network bridging between proxy devices, EoIP Tunnel will change to Virtual Interface on the proxy router so that it is as if the proxy router is connected locally. Tunnel ID on the EoIP Tunnel functions as a tunneling path security. The application of the EoIP Tunnel makes the point to point connection point between Mikrotik devices faster in data access because the data access is directed to the destination. In order for this EoIP Tunnel connection to run optimally and well, a network management is needed in managing internet bandwidth usage

scholarly journals Lessons learned in building spoken language collaborative interface agents

2000 ◽  
Author(s):  
Candace L. Sidner ◽  
Carolyn Boettner ◽  
Charles Rich
Keyword(s):  
Spoken Language ◽  
Lessons Learned ◽  
Interface Agents
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