An Intelligent Tutoring System (ITS) view on AOSE

International Journal of Agent-Oriented Software Engineering

Volumn 1, Issue 3-4, 2007, Pages 295-333

  Vicari, Rosa Maria ^a   Gluz, João Carlos ^b  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b UNIVERSIDADE DO VALE DO RIO DOS SINOS   (Brazil)

Author keywords

Agent Oriented Software Engineering; AOSE; BDI models; Belief Desire Intention models; Intelligent Tutoring Systems; ITSs; MASs; Multiagent Systems

Indexed keywords

EID: 77957092063     PISSN: 17461375     EISSN: 17461383     Source Type: Journal    
DOI: 10.1504/ijaose.2007.016264     Document Type: Article

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56. Recent development tools for logical programming languages, such as JASON (Bordini et al., 2005) or X-BDI (Móra et al., 1998), make it possible to transform system specifications into prototypes, at least for certain kinds of applications.
57. For an introductory text that presents the concepts and abstractions related to agents and MASs considered in this work, see Wooldridge (2002).
58. See Nuseibeh and Easterbrook (2000) and Sommerville and Sawyer (1997) for an introduction to Requirements Engineering concepts.
59. This is an adaptation of the definition of agent by Jennings (2001), which explicitly incorporates the notion of design purpose and deliberation.
60. From this point of view, the problem that ITS should solve is, “How to aid students to learn topics from this domain?”