Artificial Cognition Systems

Artificial Cognition Systems

Angelo Loula (State University of Feira de Santana, Brazil), Ricardo Gudwin (UNICAMP, Brazil) and João Queiroz (Federal University of Juiz de Fora, Brazil)
Indexed In: SCOPUS View 1 More Indices
Release Date: July, 2006|Copyright: © 2007 |Pages: 418
ISBN13: 9781599041117|ISBN10: 1599041111|EISBN13: 9781599041131|DOI: 10.4018/978-1-59904-111-7


Artificial Cognition Systems presents recent research efforts in artificial intelligence about building artificial systems capable of performing cognitive tasks. Such study relies on modeling and simulating cognitive processes and therefore constructs experimental labs to evaluate hypothesis and theories about cognition.

Artificial Cognition Systems offers contributions from researchers with different backgrounds applying diverse perspectives in cognitive processes modeling and simulation, and brings forth an important and open discussion in artificial intelligence: how cognitive processes can be meaningful to artificial systems.

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Angelo Loula ( is a professor of Computer Engineering at the State University of Feira de Santana (UEFS, Bahia, Brazil). He is a PhD candidate at the Department of Computer Engineering and Industrial Automation, School of Electrical and Computing Engineering (FEEC), State University of Campinas (UNICAMP). He received his MSc in electrical engineering from FEEC, UNICAMP, his BSc in electrical engineering from the Federal University of Bahia, and a technologist degree in computing from Ruy Barbosa Faculty. He is Director of the Group for Research on Artificial Cognition and of the Group for Basic and Applied Research in Intelligent Systems, both at UEFS. In addition, he is an associate researcher of the Computational Semiotics Group (UNICAMP). He has edited books on artificial cognition and on semiotics, organized scientific events in these topics, and is the author of several journal papers, book chapters, and conference papers. His research interests include artificial cognition, semiotic and meaning processes, communication, language evolution and acquisition, artificial life, adaptive behavior, complex systems and self-organization, and embodied and situated cognition.
Ricardo Gudwin received his B.S. degree in 1989, M.S. degree in 1992, and Ph.D. in 1996, all of them in electrical engineering from the State University of Campinas, Brazil. He is currently an associate professor at the State University of Campinas, a member of IEEE and the Computer Society. He is also the head of the Computational Semiotics Group, member of the board of governors of Semiotics-Evolution-Energy Virtual Institute in Toronto, Canada, and member of editorial board of the Online Journal for Semiotics, Evolution, Energy Development, published by the SEE Virtual Institute.
João Queiroz ( is a professor at the Institute of Arts and Design and at the Graduate Studies Program in Communication, Federal University of Juiz de Fora (Minas Gerais, Brazil). He earned a PhD in communication and semiotics from the Catholic University of Sao Paulo (PUC-SP) and a post-doc fellowship in intelligent systems at the School of Electrical and Computer Engineering (FEEC-DCA), State University of Campinas (Unicamp, Brazil) and in philosophy of biology at the Institute of Biology, Federal University of Bahia (UFBA). He is author and co-editor of several books and special issues, as well as numerous articles on the emergence and evolution of semiotic complexity in biological and artificial systems. He is the director of the Group for Research in Cognitive Science and Semiotics (UFJF), Group for Research on Artificial Cognition (UEFS), an associate researcher of the Research Group on History, Philosophy, and Biology Teaching (UFBA), and a member of the Institute for Research on Anticipatory Systems (The University of Texas at Dallas). His research interests include evolution of semiotic complexity, emergence of symbolic-based communication, artifacts and cognitive technologies, complexity studies, and C.S. Peirce’s semiotic and pragmatism.