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.
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.
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
We have been dealing with what we have called migration of agents. The basic idea is that some agents should be able to interact in societies of agents whose designs axe based on different paradigms or theories of agents, or which have different histories of autonomous evolution. Providing agents that can learn to interact with unfamiliar communities not only allows interoperation of disparate Multi-Agent Systems (MAS) without the need of standardisation on models and laxiguages of agents but also brings to light several issues of interest in the disciplines that form the foundations of MAS. In (Bordini & Campbell 1995), we have suggested that Social Anthropology should be among the disciplines of interest to MAS if we are to consider the above way of promoting interoperation of MAS. In particular, we propose the use of Cognitive Anthropology (Tyler 1969) as a theoretical foundation for the project.