Educational interface agents as social models to influence learner achievement, attitude and retention of learning

2012 ◽  
Vol 59 (2) ◽  
pp. 828-838 ◽  
Author(s):  
Ramazan Yılmaz ◽  
Ebru Kılıç-Çakmak
Keyword(s):  
Social Models ◽  
Interface Agents ◽  
Learner Achievement

Interface agents as surrogate users

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

Socialization: thorny path towards the noonomy

2020 ◽  
pp. 5-12
Author(s):  
Sergey D. Bodrunov ◽  
Keyword(s):  
Philosophical Analysis ◽  
Social Psychological ◽  
Social Models

The article considers the category of socialization from the perspective of economic, social, psychological and philosophical analysis and elicits its role in modern society's and economy's development following the noopath. The author suggests theoretical provisions and applied approaches to socialization of the society and socialization-based modernization of economic and social models.

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.

Social Models

1966 ◽  
Vol 5 (1) ◽  
pp. 38-52
Author(s):  
P. P. Maslov
Keyword(s):  
Social Models
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