In order to take this course it is advisable to have taken the Basic Training modules (Module I) and the Common to the Computer Branch module (Module II).
Intelligent Systems is a subject that should have been taken before entering this subject.
In recent years Multiagent Systems have emerged as an interesting milestone in software development technology.
Multiagent Systems are a group of agents working together to solve problems. These systems are composed of normally heterogeneous agents, with a certain degree of independence. These agents are autonomous computational processes, with initiative, capacity to modify their environment and communicate with other agents.
For this reason, the course aims to provide the student with current and quality training on Multiagent Systems, covering both methodological and technological aspects, as well as their application through intelligent services in the Information Society.
This approach translates into the following specific objectives:
The subject Multiagent Systems belongs to the subject of SPECIFIC TECHNOLOGY OF COMPUTATION. It is strongly related to other subjects of the same subject, such as:
Knowledge Based Systems
It also complements the third year course called Intelligent Systems.
|CM05||Ability to acquire, formalise, and represent human knowledge in a computable form for the solution of problems throughout a digital system in any application context, especially the one linked to computational aspects, perception, and behaviour in intelligent frames.|
|INS01||Analysis, synthesis, and assessment skills.|
|INS04||Problem solving skills by the application of engineering techniques.|
|INS05||Argumentative skills to logically justify and explain decisions and opinions.|
|PER02||Ability to work in multidisciplinary teams.|
|PER04||Interpersonal relationship skills.|
|PER05||Acknowledgement of human diversity, equal rights, and cultural variety.|
|SIS09||Care for quality.|
|UCLM03||Accurate speaking and writing skills.|
|Course learning outcomes|
|Establishment, definition and development of mechanisms of interaction and communication between the agents that make up a multi-agent system.|
|Design and implementation of multiagent systems using specific languages ¿¿and tools.|
|Training Activity||Methodology||Related Competences||ECTS||Hours||As||Com||Description|
|Class Attendance (theory) [ON-SITE]||Lectures||CM05||0.6||15||N||N||Teaching of the subject matter by lecturer (MAG)|
|Individual tutoring sessions [ON-SITE]||CM05 INS05 SIS01 SIS09 UCLM03||0.18||4.5||N||N||Individual or small group tutoring in lecturer's office, classroom or laboratory (TUT)|
|Study and Exam Preparation [OFF-SITE]||Self-study||CM05 INS01 SIS01 SIS03 SIS09||1.8||45||N||N||Self-study (EST)|
|Other off-site activity [OFF-SITE]||Practical or hands-on activities||CM05 INS01 INS04 PER02 PER04 PER05 SIS03 SIS09 UCLM03||0.9||22.5||N||N||Lab practical preparation (PLAB)|
|Problem solving and/or case studies [ON-SITE]||Problem solving and exercises||CM05 INS01 INS04 PER02 PER04 PER05 SIS01 SIS09||0.6||15||Y||N||Worked example problems and cases resolution by the lecturer and the students (PRO)|
|Writing of reports or projects [OFF-SITE]||Self-study||CM05 INS01 INS04 INS05 PER02 PER04 PER05 SIS01 SIS03 SIS09 UCLM03||0.9||22.5||Y||N||Preparation of essays on topics proposed by lecturer (RES)|
|Laboratory practice or sessions [ON-SITE]||Practical or hands-on activities||CM05 INS04 PER02 PER04 PER05 SIS03 SIS09||0.72||18||Y||Y||Realization of practicals in laboratory /computing room (LAB)|
|Final test [ON-SITE]||Assessment tests||CM05 INS01 INS04 INS05 PER02 SIS01 SIS09 UCLM03||0.3||7.5||Y||Y||Final test of the complete syllabus of the subject (EVA)|
|Total credits of in-class work: 2.4||Total class time hours: 60|
|Total credits of out of class work: 3.6||Total hours of out of class work: 90|
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
|Evaluation System||Continuous assessment||Non-continuous evaluation *||Description|
|Final test||50.00%||50.00%||Compulsory activity that can be
retaken (rescheduling) to be carried
out within the planned exam dates
of the final exam call (convocatoria
|Theoretical papers assessment||15.00%||15.00%||Non-compulsory activity that can be
retaken. To be carried out before
end of teaching period
|Laboratory sessions||25.00%||25.00%||Compulsory activity that can be
retaken. To be carried out during lab sessions
|Assessment of active participation||10.00%||10.00%||Non-compulsory activity that can
be retaken. To be carried out during
the theory/lab sessions for the continous assesment students. Non-continuous evaluation students will be evaluated with an alternative system in the first examination period.
|Not related to the syllabus/contents|
|General comments about the planning:||The subject is taught in 3 x 1,5 hour sessions per week.|
|Author(s)||Title||Book/Journal||Citv||Publishing house||ISBN||Year||Description||Link||Catálogo biblioteca|
|G. Weiss||Multiagent systems : a modern approach to distributed artif||The MIT Press||0-262-73131-2||2000|
|Mas, Ana María||Agentes software y sistemas multiagente : conceptos, arquite||Prentice Hall||84-205-4367-5||2005|
|Padgham, Lin||Developing intelligent agent systems : a practical guide||John Wiley||0-470-86120-7||2004|
|Russell, Stuart J.||Inteligencia artificial : un enfoque moderno||Pearson||978-84-205-4003-0||2011|