Logic-based Technologies for Multi-agent Systems: A Systematic Literature Review

Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computerscientists and non-technical media, symbolic approaches are getting more and more attention as those that could make AI amenable to human understanding. Given the recurring cycles in the AI history, we expect that a revamp of technologies often tagged as “classical AI” – in particular, logic-based ones will take place in the next few years. On the other hand, agents and multi-agent systems (MAS) have been at the core of the design of intelligent systems since their very beginning, and their long-term connection with logic-based technologies, which characterised their early days, might open new ways to engineer explainable intelligent systems. This is why understanding the current status of logic-based technologies for MAS is nowadays of paramount importance. Accordingly, this paper aims at providing a comprehensive view of those technologies by making them the subject of a systematic literature review (SLR). The resulting technologies are discussed and evaluated from two different perspectives: the MAS and the logic-based ones

Course Catalog 1995-1996

/ 3 ACADEMIC CALENDAR 4 THE CSU 7 THE UNIVERSITY 11 ACADEMIC PROGRAM 17 ACADEMIC SUPPORT SERVICES 25 STUDENT LIFE 27 ADMISSION 35 FEE SCHEDULE 43 ACADEMIC REGULATIONS 47 UNDERGRADUATE DEGREE REQUIREMENTS 57 CERTIFICATE PROGRAMS 66 EXTENDED EDUCATION 69 THE CURRICULUM (Undergraduate Degree Programs) 71 GRADUATE STUDIES (Graduate Degree Programs) 317 FACULTY 429 APPENDIX 447 INDEX 455https://scholarworks.lib.csusb.edu/csusb-catalog/1043/thumbnail.jp

Course Catalog 1997-1998

Contents ACADEMIC CALENDAR 4 THE CSU 7 THE UNIVERSITY 11 ACADEMIC PROGRAM 17 ACADEMIC SUPPORT SERVICES 25 STUDENT LIFE 27 ADMISSION 35 FEE SCHEDULE 43 ACADEMIC REGULATIONS 47 UNDERGRADUATE DEGREE REQUIREMENTS 57 CERTIFICATE PROGRAMS 65 EXTENDED EDUCATION 67 THE CURRICULUM (Undergraduate Degree Programs) 69 GRADUATE STUDIES (Graduate Degree Programs) 323 FACULTY 441 APPENDIX 459 INDEX 467https://scholarworks.lib.csusb.edu/csusb-catalog/1046/thumbnail.jp