|
Type A
|
Code |
Competences Specific | | | A1 |
Project, calculate and design products, processes and installations in all areas of computer engineering. |
| | A3 |
Perform mathematical modelling, calculation and simulation in company technology and engineering centres, particularly in tasks of research, development and innovation in all areas related to computer engineering. |
| | D1 |
Integrate the fundamental technology, applications, services and systems of computer engineering, in general, and in a broader, multidisciplinary context. |
| | T5 |
Analyse the information needs considered in an environment and execute all stages of the construction process of an information system. |
| | T9 |
Apply computational, mathematical, statistical and artificial intelligence methods in order to model, design and develop applications, services, smart systems and knowledge-based systems. |
|
Type B
|
Code |
Competences Transversal | | | B2 |
Aplicar el pensament crític, lògic i creatiu, demostrant capacitat d’innovació. |
| | B3 |
Treballar de forma autònoma amb responsabilitat i iniciativa. |
|
Type C
|
Code |
Competences Nuclear | | | C2 |
Be advanced users of the information and communication technologies |
| | C3 |
Be able to manage information and knowledge |
| | C5 |
Be committed to ethics and social responsibility as citizens and professionals |
|
Type A
|
Code |
Learning outcomes |
| | A1 |
Integrate theoretical knowledge into the realities to which it may apply.
| | | A3 |
Apply the techniques learned in a specific context.
| | | D1 |
Analyse the problems and their causes from a global focus in the medium and long term.
Integrate devices and/or computational methods in various contexts.
| | | T5 |
Identify the components of a decision-making problem and know how to decide the most suitable decision-making model.
| | | T9 |
Differentiate the various types of smart agents and know how to use each of them.
|
|
Type B
|
Code |
Learning outcomes |
| | B2 |
Identify things that need to be improved in complex situations and contexts.
Apply innovative techniques and obtain results.
| | | B3 |
Take correct decisions at key moments confidently, consistently and systematically.
|
|
Type C
|
Code |
Learning outcomes |
| | C2 |
Understand the operating system as a hardware manager and the software as a working tool.
| | | C3 |
Locate and access information effectively and efficiently.
| | | C5 |
Respect fundamental rights and equality between men and women.
|
| Topic |
Sub-topic |
| Intelligent agents (6 hs) |
Intelligent agents. Definition. Properties. Characteristics. Tipology. |
| Multi-agent systems (24 hs) |
Introduction to distributed intelligent systems. Communication. Standards. Coordination. Negotiation. Distributed planning. Voting. Auctions. Coalition formation. Application of MAS to real problems. |
| Methodologies :: Tests |
| |
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
| Introductory activities |
|
1 |
0 |
1 |
| Lecture |
|
22 |
38.5 |
60.5 |
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
15 |
15 |
30 |
| Presentations / expositions |
|
1 |
4 |
5 |
| Debates |
|
2 |
4 |
6 |
| Personal tuition |
|
1 |
0 |
1 |
| |
| Objective short-answer tests |
|
3 |
6 |
9 |
| |
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
| |
Description |
| Introductory activities |
Presentation of the topic, describing the contents, biblography, work mehodology, evaluation mechanism. |
| Lecture |
Theoretical exposition by the lecturer of the contents of the course. |
| Practicals using information and communication technologies (ICTs) in computer rooms |
Development of practical exercises using ICT, guided by the teacher. |
| Presentations / expositions |
Presentation of the practical exercise at the end of the term. |
| Debates |
Discussions during the term on the practical exercise to be developed. |
| Personal tuition |
Personalised support to clarify the doubts on the theoretical concepts and to solve practical exercises with agent technology. |
|
Description |
|
Personalised support to clarify the doubts on the theoretical concepts and to solve practical exercises with agent technology. |
|
Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
Development of team practical exercises using ICT. |
30% |
| Presentations / expositions |
|
Presentation of the results of the practical exercise. |
10% |
| Debates |
|
Discussions on the design and implementation of the practical exercise. |
15% |
| Objective short-answer tests |
|
Questions and exercises on the theoretical contents of the course. |
45% |
| Others |
|
|
|
| |
|
Other comments and second exam session |
|
The evaluation on the second call will have the same components than in the first one. |
| Basic |
A. Mas , Agentes software y sistemas multi-agente , Pearson-Prentice Hall , 2005
M.Wooldridge , An introduction to multiagent systems (2nd ed) , Wiley , 2009
|
|
| Complementary |
, Info. plana web JADE , ,
, Journal of Autonomous Agents and Multi-Agent Systems , ,
Isern, Sánchez , Guia de programació de sistemes multiagent en JADE 3.3 , DEIM-RT-05-001 , 2005
G.Weiss , Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence , MIT Press , 1999
M.Fasli , Agent technology for e-commerce , Wiley, 2007
|
|
| Subjects that it is recommended to have taken before |
| PLANNING AND APPROXIMATE REASONING/17665204 |
|
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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