Workshop on Agent Modeling

AI Magazine

Agent modeling--the ability to model and reason other agents' knowledge, beliefs, goals, and actions--is central to intelligent interaction. The Workshop on Agent Modeling, held as part of the Thirteenth National Conference on Artificial Intelligence, was organized to bring together researchers working in these areas to assess the state of the art and discuss the common issues in representation and reasoning with models of agents. Agent modeling--the ability to model and reason about other agents' knowledge, beliefs, goals, and actions--is central to intelligent interaction, and it is being investigated in a variety of research areas, including distributed AI and multiagent systems, plan recognition, natural language discourse, intelligent tutoring, and user interfaces, as well as in related areas, such as game theory and cognitive science and psychology. The Workshop on Agent Modeling, held as part of the Thirteenth National Conference on Artificial Intelligence, was organized to bring together researchers working in these areas to assess the state of the art and discuss the common issues in representation and reasoning with models of agents. The workshop succeeded in drawing together researchers from a surprising variety of backgrounds and diverse concerns about agent modeling.


Model called fat and skinny

FOX News

The fashion industry is notoriously demanding, but Karlie Kloss recently talked about a time when it was quite literally impossible to please. During her conversation at the Cannes Lions International Festival of Creativity on Monday, Karlie spoke about her struggle -- in the eyes of a casting agent -- to be accepted for the size of her body. "I was called both too fat and too thin by a casting agent on the same day," Karlie says, according to Page Six. She added that despite the clearly ridiculous and contradictory standards set by the industry -- or perhaps because of them -- she has learned over time to focus not on her weight but on her health and strength. "I don't want to please anyone but myself," she said, causing the audience to give her a standing ovation, Page Six reports.


Data Scientists Aren't Just About The Numbers -- And Other Lessons From IDEO About The Collision Between Design And Data Science

#artificialintelligence

As part of my research about data science and design, I spoke with Ovetta Sampson, design research lead at IDEO, a global design company. Sampson's advice that stood out most to me about how to improve the use of data in the design of better experiences: Stop thinking about data scientists as "that nerdy guy or girl behind the scenes." Instead, she says, think about them as designers who happen to use data to craft experiences. This echoes a similar sentiment heard at last month's San Francisco Design Week during a session titled Bots are coming: Designing with AI. These maps catalog points where data is created, transferred, transformed, or used.



A new approach of designing Multi-Agent Systems

arXiv.org Artificial Intelligence

Agent technology is a software paradigm that permits to implement large and complex distributed applications. In order to assist analyzing, conception and development or implementation phases of multi-agent systems, we've tried to present a practical application of a generic and scalable method of a MAS with a component-oriented architecture and agent-based approach that allows MDA to generate source code from a given model. We've designed on AUML the class diagrams as a class meta-model of different agents of a MAS. Then we generated the source code of the models developed using an open source tool called AndroMDA. This agent-based and evolutive approach enhances the modularity and genericity developments and promotes their reusability in future developments. This property distinguishes our design methodology of existing methodologies in that it is constrained by any particular agent-based model while providing a library of generic models