Advanced Topics in Cognitive Modeling

Year
1
Academic year
2014-2015
Code
03006348
Subject Area
Optional Specialties
Language of Instruction
Portuguese
Other Languages of Instruction
English
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Elective
Level
3rd Cycle Studies

Recommended Prerequisites

Artificial Intelligence

Teaching Methods

NA

Learning Outcomes

This course intends to provide to the student a context for learning a set of state-of-of-the-art research topics on Cognitive Modeling in depth, with a solid theoretical contextualization and corresponding empirical support.

Work Placement(s)

No

Syllabus

1- Affective Computing and Consciousness
Emotion and motivation
Artificial affective agents
Consciousness

2- Knowledge Representation and Reasoning
Knowledge Representation Formalisms
Computational Reasoning Methods
KRR Applications
Computational Complexity of Reasoning Tasks

3- Semantic Web
Ontologies Development and Reuse
Semantic Web Reasoning Engines
Semantic Web and Web 2.0
Semantic Web Applications

4- Computational Creativity
Psychological Models of Creativity
Characterising Creativity
Creative Systems
Assessing Computational Creativity

5- Music Information Retrieval
Short MIR Tale
Applications
Disciplines
Representations
Techniques

6- Coordination in MAS
Competitive Environments
Opponent Modeling
Cooperative Environments
Mixed Environments

7- Automatic Music Composition
Musical Composition and Analysis
Systems based on Statistical Analysis
Knowledge Based Systems
Evolutionary and Neural Systems

Head Lecturer(s)

Luís Miguel Machado Lopes Macedo

Assessment Methods

Assessment
Laboratory work or Field work: 50.0%
Synthesis work: 50.0%

Bibliography

Chitta Baral, “Knowledge Representation, Reasoning and Declarative Problem Solving", Cambridge University Press, 2003

Grigoris Antoniou and Frank van van Harmelen, "A Semantic Web Primer — Second Edition",  MIT Press, 2008

R.W. Picard, "Affective Computing“,MIT Press, 1997

Michael Wooldridge, “An Introduction to MultiAgent Systems, 2nd Edition”. Wiley, 2009.

S. Colton, R. López de Mántaras, O. Stock, Special Issue on Computational Creativity, AI Magazine, Volume 30, Number 3, Fall 2009.
Yang Y.-H. & Chen H. H. "Music Emotion Recognition", CRC Press, 2011.

Gerhard Nierhaus, “Algorithmic Composition: Paradigms of Automated Music Generation”, Springer, 2008