João Queiroz

João Queiroz (www.semiotics.pro.br) 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.

Publications

Supporting Model-Driven Development: Key Concepts and Support Approaches
Supporting Model-Driven Development: Key Concepts and Support Approaches
Rita Suzana Pitangueira Maciel, Ana Patrícia F. Magalhães Mascarenhas, Ramon Araújo Gomes, João Pedro D. B. de Queiroz. © 2018. 37 pages.
The adoption of Model-Driven Development (MDD) is increasing and it is widely recognized as an important approach for building software systems. In addition to traditional...
Supporting Model-Driven Development: Key Concepts and Support Approaches
Supporting Model-Driven Development: Key Concepts and Support Approaches
Rita Suzana Pitangueira Maciel, Ana Patrícia F. Magalhães Mascarenhas, Ramon Araújo Gomes, João Pedro D. B. de Queiroz. © 2014. 37 pages.
The adoption of Model-Driven Development (MDD) is increasing and it is widely recognized as an important approach for building software systems. In addition to traditional...
Research Commentaries on Cangelosi’s “Solutions and Open Challenges for the Symbol Grounding Problem”
Research Commentaries on Cangelosi’s “Solutions and Open Challenges for the Symbol Grounding Problem”
Stevan Harnad, Luc Steels, Tony Belpaeme, Carol J. Madden, Stéphane Lallée, Peter Ford Dominey, Stephen J. Cowley, Juyang Weng, Alberto Greco, Barbara Giolito, Domenico Parisi, Vincent C. Müller, Angelo Loula, João Queiroz, Ricardo Gudwin, Angelo Cangelosi. © 2011. 25 pages.
Self-Organization and Peirce’s Notion of Communication and Semiosis
Self-Organization and Peirce’s Notion of Communication and Semiosis
João Queiroz, Angelo Loula. © 2011. 9 pages.
Semiosis can be described as an emergent self-organizing process in a complex system of distributed sign users interacting locally and mutually affecting each other. Contextually...
Symbol Grounding Problem
Symbol Grounding Problem
Angelo Loula, João Queiroz. © 2009. 6 pages.
The topic of representation acquisition, manipulation and use has been a major trend in Artificial Intelligence since its beginning and persists as an important matter in current...
Artificial Cognition Systems
Artificial Cognition Systems
Angelo Loula, Ricardo Gudwin, João Queiroz. © 2007. 418 pages.
Artificial Cognition Systems presents recent research efforts in artificial intelligence about building artificial systems capable of performing cognitive tasks. Such study...
Semiotics and Intelligent Systems Development
Semiotics and Intelligent Systems Development
Ricardo Gudwin, João Queiroz. © 2007. 368 pages.
The fields of artificial intelligence, intelligence control, and intelligent systems are constantly changing in the subject area of information science and technology. Semiotics...
Synthetic Approach to Semiotic Artificial Creatures
Synthetic Approach to Semiotic Artificial Creatures
Angelo Loula, Ricardo Gudwin, Sidarta Ribeiro, Ivan de Araujo, João Queiroz. © 2005. 31 pages.
Here we propose, based on the Peircean semiotics and informed by neuroethological constraints, a methodology to simulate the emergence of symbolic predator-warning communication...