This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (CSCL), Multi-Agent Systems (MAS) and the artificial intelligence techniques called: Instructional Planning (IP) and Case-Based Reasoning (CBR). Finally ALLEGRO is presented, a MAS environment of support to the teaching/...

My current research is focused around building frameworks for intelligent agents and agent-oriented software engineering. In my dissertation, I have developed a new formal framework for the analysis and implementation of multi-agent systems. Most of my other research activities are associated with applied computational intelligence—including fuzzy expert systems for natural language-based compu...

This chapter 1 investigates the relation between the two key aspects of intelligent agents: intelligence and agent-hood. EEorts for building general architectures for intelligent agents have typically focussed on one of these aspects. The chapter rst reviews some work on cognitive architectures for intelligence and illustrates how these are being applied to physical agents. Secondly, this chapt...

Pervasive computing environments involve a variety of smart devices, which tend to overcharge humans with complex or irrelevant interaction. Ambient Intelligence pushes forward a vision where technology is integrated into everyday objects with the intent of making users’ interaction with their surrounding environment simpler and more intuitive. In this paper, we expose how Ambient Intelligence ...

Many people with disabilities find it difficult or even impossible to use traditional powered wheelchairs independently by manually controlling the devices. Intelligent wheelchairs are a very good solution to assist severely handicapped people who are unable to operate classical electrical wheelchair by themselves in their daily activities. This paper describes a development platform for intell...

Current implementation and prospective development path for adaptive personal software agents for collaborative computational intelligence is described, having the principal goals highlighted and basic features outlined.

Recent advances in Natural Language Processing (NLP) and Artificial Intelligence (AI) in general have advances this field in realizing the vision of a more humanoid interactive system with embodied conversation agent (ECA). This paper presented our development of the ECA called Artificial Intelligent Natural-language Identity or AINI. In this paper, we also present and discuss the use of such E...

Multi-agent path finding (MAPF) is a well-studied problem in artificial intelligence, where one needs to find collisionfree paths for agents with given start and goal locations. In video games, agents of different types often form teams. In this paper, we demonstrate the usefulness of MAPF algorithms from artificial intelligence for moving such nonhomogeneous teams in congested video game envir...

The goal of this study is to suggest the agent systems by intelligence and adaptability properties in distance learning environment. The suggested system has flexible, agile, intelligence and cooperation features. System components are teachers, students (learners), and resources. Inter component relations are modeled and reviewed by using the Petri net method.

We consider the problem of attribution of knowledge to artificial agents and their legal principals. When can we say that an artificial agent X knows p and that its principal can be attributed the knowledge of p? We offer a pragmatic analysis of knowledge attribution and apply it to the legal theory of artificial agents and their principals.