By Jaime Simao Sichman, Helder Coelho, Solange Oliveira Rezende

This booklet constitutes the refereed complaints of the second overseas Joint convention of the tenth Ibero-American convention on man made Intelligence, IBERAMIA 2006, and the 18th Brazilian man made Intelligence Symposium, SBIA 2006, held in Riberão Preto, Brazil in October 2006.

The sixty two revised complete papers offered including four invited lectures have been conscientiously reviewed and chosen from 281 submissions. The papers are geared up in topical sections on AI in schooling and clever tutoring platforms, independent brokers and multiagent platforms, computing device imaginative and prescient and trend reputation, evolutionary computation and synthetic existence, hybrid platforms (fuzzy, genetic, neural, symbolic), wisdom acquisition and computer studying, wisdom discovery and information mining, wisdom engineering, ontologies and case dependent reasoning, wisdom illustration and reasoning, usual language processing, making plans and scheduling, robotics, theoretical and logical equipment, in addition to uncertainty.

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An Intelligent Agent is a software entity that works in a continuous and autonomous way in a particular environment, generally inhabited by other agents, and able to interfere in that environment, in a flexible and intelligent way, not requiring human intervention or guidance [3]. An agent is able to communicate with others by message exchange using a high-level communication language called Agent Communication Language (ACL), which is based on Logic concepts. Intelligent Learning Objects: An Agent Approach 19 We have started from the learning object model called SCORM [1].

This interaction provides more reality to the environment, and as a consequence, the student feels that he/she and the APA are active characters of the learning process. In addition, the student is likely to be motivated on learning tasks supplied by the environment, because the human-like character of APA is similar to the student’s reality and it have good control on the learning objects. Acknowledgement This project is granted by Brazilian agencies: CNPq, CAPES and FAPERGS. References 1. Advanced Distributed Learning (ADL).

So, the design of the pedagogical task of an ILO must be made according to the expertise of some object matter specialists and pedagogical experts. Some interoperability can be reached by the use of well-known standards. 1 Standard for Learning Technology – Data Model for Content Object Communication. A. R. Gomes, and R. Viccari learning objects with Learning Management Systems (LMS). We use this standard in interactions among ILOs. For its agent features, ILO adopts some central ideas of intelligent agent principles from Wooldridge et al [18] conceptions.

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