Semiotics and Systems
Key Terms
- Semiotics
- Computational Semiotics
- Applied Semiotics
- Artificial Intelligence
- Artificial Life
- Synthetic Biology
- Robotics
- Meaning Making
- Sign
- Object
- Interpretant
- Intelligent Systems
- Semiotic Situational Control
- Autognomes: Pragmatic Semiotic Systems
- The Multi Resolutional Semiosis
- Organizational Semiotics
- Semiotic Cognitive Information Processing Systems
- The Semiotic Agents
- Perlovsky’s Intellectual Systems
- Ecological Semiotic Approach
- The Semiotic Machines and Knowledge Robots
- Intelligence Augmentation
- Metasemiosis
- Non-well founded set theory
- Hyperset theory
- Representamen: Qualisign, Sinsign, Legisign
- Interpretant: Argument, Dicent, Rheme
- Object: Icon, Index, Symbol.
- Synthetic Semiotics
The Science of Meaning
Source: Pervasive informatics: theory, practice and future directions
Source: Semiosis and pragmatism: Toward a dynamic concept of meaning
Signs and Semiotics
Source: The Biological Substrate of Icons, Indexes, and Symbols in Animal Communication: A Neurosemiotic Analysis of Vervet Monkey Alarm Calls
Source: A Visual Model of Peirce’s 66 Classes of Signs Unravels His Late Proposal of Enlarging Semiotic Theory
Source: A SEMIOTIC THEORY OF INSTITUTIONALIZATION
Source: A semiotic analysis of the genetic information system
Source: A Visual Model of Peirce’s 66 Classes of Signs Unravels His Late Proposal of Enlarging Semiotic Theory
Source: Notes for a Dynamic Diagram of Charles Peirce’s Classifications of Signs
Source: Notes for a Dynamic Diagram of Charles Peirce’s Classifications of Signs
Source: Notes for a Dynamic Diagram of Charles Peirce’s Classifications of Signs
Source: Notes for a Dynamic Diagram of Charles Peirce’s Classifications of Signs
Semiotics and Systems
Source: Semiotics and Intelligent Systems Development: An Introduction
Source: Semiotics and Intelligent Systems Development: An Introduction
Source: Towards a multi-level approach to the emergence of semiosis in semiotic systems
Source: Towards a multi-level approach to the emergence of semiosis in semiotic systems
Source: Towards a multi-level approach to the emergence of semiosis in semiotic systems
Source: Towards an Introduction to Computational Semiotics
My Related Posts
Hierarchy Theory in Biology, Ecology and Evolution
Process Physics, Process Philosophy
Thomas Sebeok and Biosemiotics
Interconnected Pythagorean Triples using Central Squares Theory
Indra’s Net: On Interconnectedness
Growth and Form in Nature: Power Laws and Fractals
Knot Theory and Recursion: Louis H. Kauffman
Consciousness of Cosmos: A Fractal, Recursive, Holographic Universe
Autocatalysis, Autopoiesis and Relational Biology
Cybernetics, Autopoiesis, and Social Systems Theory
Society as Communication: Social Systems Theory of Niklas Luhmann
Cyber-Semiotics: Why Information is not enough
Semiotics, Bio-Semiotics and Cyber Semiotics
Key Sources of Research
Semiosis as an Emergent Process
João Queiroz
Charbel Niño El-Hani
TRANSACTIONS OF THE CHARLES S. PEIRCE SOCIETY Vol. 42, No. 1 2006
On a Computational Model of the Peircean Semiosis
Antônio Gomes, Ricardo Gudwin & João Queiroz FEEC–UNICAMP, Cx Postal 6101 – 13081-970 Campinas – SP – Brazil,
{asrgomes, gudwin, queirozj}@dca.fee.unicamp.br
Chapter 20
Information and Semiosis in Living Systems: A Semiotic Approach
Claus Emmeche (1956– ), João Queiroz (1963– ), and Charbel El-Hani (1968– )
Chapter · January 2010
D. Favareau, Essential Readings in Biosemiotics, Biosemiotics 3,
DOI: 10.1007/978-1-4020-9650-1_20
On Peirce’s Pragmatic Notion of Semiosis—A Contribution for the Design of Meaning Machines.
Queiroz, J., Merrell, F.
Minds & Machines 19, 129–143 (2009).
https://doi.org/10.1007/s11023-008-9129-z
Towards a multi-level approach to the emergence of semiosis in semiotic systems
João Queiroz1,2 & Charbel Niño El-Hani2,3,4
1. Dept. Computer Engineering and Industrial Automation, FEEC – UNICAMP. <queirozj@dca.fee.unicamp.br>
2. Research Group on History, Philosophy, and Biology Teaching, Institute of Biology, (UFBA). <charbel@ufba.br>
3. Graduate Studies Program in History, Philosophy, and Science Teaching (UFBA/UEFS). 4. Graduate Studies Program in Ecology and Biomonitoring (UFBA).
Towards the emergence of meaning processes in computers from Peircean semiotics
Antonio Gomes
Ricardo Gudwin
Charbel Nino El-Hani
Joao Queiroz
Mind & Society (2007) 6:173–187
DOI 10.1007/s11299-007-0031-9
Modeling Intersemiotic Translation: Notes towards a Peircean Account
Daniella Aguiar
State University of Rio de Janeiro (Brasil)
João Queiroz
Federal University of Juiz de Fora (Brasil)
Proceedings of the 10th World Congress of the International Association for Semiotic Studies (IASS/AIS)
Universidade da Coruña (España / Spain), 2012.
ISBN: 978-84-9749-522-6 Pp. 337-344
https://ruc.udc.es/dspace/bitstream/handle/2183/13326/CC-130_art_33.pdf?sequence=1
Meaningful Agents: A Semiotic Approach
Antônio Gomes, Ricardo Gudwin, & João Queiroz
{asrgomes, gudwin, queirozj}@dca.fee.unicamp.br DCA–FEEC–UNICAMP, Cx. Postal 6101, 13081-970, Campinas – SP – Brazil.
ftp://ftp.dca.fee.unicamp.br/pub/docs/gudwin/publications/Kimas05-3.pdf
Semiotic modelling of biological processes: semiotic systems
João Queiroz a,b,c & Charbel El-Hani a,b
a. Graduate Studies Program in History, Philosophy, and Science Teaching, Federal University of Bahia/State University of Feira de Santana, Brazil.
b. Research Group in History, Philosophy, and Biology Teaching, Institute of Biology, Federal University of Bahia, Brazil.
c. Institute of Arts and Design, Federal University of Juiz de Fora, Brazil.
Chapter 7
C. S. Peirce and Intersemiotic Translation
João Queiroz and Daniella Aguiar
P. P. Trifonas (ed.), International Handbook of Semiotics,
DOI 10.1007/978-94-017-9404-6_7
Semiotics and Intelligent Systems Development: An Introduction
Ricardo Gudwin & João Queiroz
DCA-FEEC-UNICAMP, Av. Albert Einstein 400, 13083-852 Campinas, SP – Brazil
gudwin@dca.fee.unicamp.br
http://www.dca.fee.unicamp.br/~gudwin
queirozj@dca.fee.unicamp.br
http://www.dca.fee.unicamp.br/~queirozj
In Semiotics and Intelligent Systems Development
Hershey: Idea Group Inc.
2007
Academia
Towards an Introduction to Computational Semiotics
Ricardo Gudwin & João Queiroz
DCA-FEEC-UNICAMP, Av. Albert Einstein 400, 13083-852 Campinas, SP – Brazil
gudwin@dca.fee.unicamp.br
http://www.dca.fee.unicamp.br/~gudwin
queirozj@dca.fee.unicamp.br
http://www.digitalpeirce.org/joao
Semiotics and Intelligent Systems Development
Ricardo Gudwin & João Queiroz Editors
IDEA GROUP PUBLISHING
2007
Academia.edu
The semiotics of control and modeling relations in complex systems
Cliff Joslyn *,1
Distributed Knowledge Systems and Modeling Team, Modeling, Algorithms, and Informatics Group (CCS-3),
Los Alamos National Laboratory, MS B265, Los Alamos, NM 87545, USA
BioSystems 60 (2001) 131–148
Academia
What Does it Take to Produce Interpretation? Informational, Peircean and Code-Semiotic Views on Biosemiotics
Søren Brier & Cliff Joslyn
Biosemiotics
DOI 10.1007/s12304-012-9153-5
2013
Pervasive informatics: theory, practice and future directions
Kecheng Liu1*, Keiichi Nakata1, Chris Harty2
1Informatics Research Centre, University of Reading, Reading RG6 6BW, UK
2Innovative Construction Research Centre, School of Construction Management and Engineering, University of Reading, Reading RG6 6AY, UK
Intelligent Buildings International 2 (2010), 5–19, doi:10.3763/inbi.2009.0041
Semiotic Machine
Dr. Mihai Nadin
Ashbel Smith University Professor The University of Texas at Dallas
nadin@utdallas.edu
The Public Journal of Semiotics I(1), January 2007, pp. 57-75
Um Tutorial em Controle Situacional Semiótico
Mário Ernesto de Souza e Silva
ernesto@dca.fee.unicamp.br
Ricardo Ribeiro Gudwin
gudwin@dca.fee.unicamp.br
DCA-FEEC-UNICAMP – Campinas – SP, Brasil
SEMIOTIC MODELS IN ARTIFICIAL INTELLIGENCE PROBLEMS
D.A. Pospelov
40, Vavilov St., Computing Center USSR Academy of Sciences
Moscow 117535, USSR
Artificial General Intelligence
Ben Goertzel
Cassio Pennachin (Eds.)
ISSN 1611-2482
ISBN-10 3-540-23733-X Springer Berlin Heidelberg New York ISBN-13 978-3-540-23733-4 Springer Berlin Heidelberg New York
2007
Possibility theory, probability theory and multiple-valued logics: A clarification ∗
Didier Dubois and Henri Prade
Institut de Recherche en Informatique de Toulouse (I.R.I.T.) – C.N.R.S., Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse Cedex 4, France
E-mail: {dubois, prade}@irit.fr
Annals of Mathematics and Artificial Intelligence 32: 35–66, 2001.
Semiotic Systems, Computers, and the Mind: How Cognition Could Be Computing
William J. Rapaport, University at Buffalo, The State University of New York, USA
International Journal of Signs and Semiotic Systems, 2(1), 32-71, January-June 2012
Evolving Consciousness: The Very Idea!.
Fetzer, J.H. (2013).
In: Swan, L. (eds) Origins of Mind. Biosemiotics, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5419-5_11
Semiotics in Computation and Information Systems
Martin Irvine
Founding Director and Associate Professor Communication, Culture, and Technology Program Georgetown University
Washington, DC
irvinem@georgetown.edu
[Chapter to appear in The Bloomsbury Companion to Semiotics, ed. Jamin Pelkey (London: Bloomsbury, 2022). Final pre-publication draft, slightly revised.]
The relevance of Peircean semiotic to computational intelligence augmentation
Joseph Ransdell
Department of Philosophy Texas Tech University
Box 43092, Lubbock, TX 79409-3092 ransdell4@cox.net
Artificial Intelligence and Sign Theory
Jean Guy Meunier,
Published in
Meunier, J. G. “Artificial intelligence and the theory of Signs”, Semiotica, September 1989, p. 43 – 63
SELECTED PUBLICATIONS
Queiroz, João
The semiotic machine, linguistic work, and translation*
Susan Petrilli
ON BUILDING A BIOLOGICALLY-INSPIRED EXPERIMENT ON SYMBOL-BASED COMMUNICATION
Angelo Loula
Department of Exact Sciences,
State University of Feira de Santana, Brazil Department of Computer Engineering and Industrial
Automation, FEEC, State University of Campinas, Brazil angelocl@ecomp.uefs.br
Sidarta Ribeiro
International Institute of Neuroscience of Natal Edmond and Lily Safra (IINN-ELS), Rio Grande do Norte, Brazil sidartaribeiro@gmail.com
Ricardo Gudwin
Department of Computer Engineering and Industrial Automation, FEEC, State University of Campinas, Brazil gudwin@dca.fee.unicamp.br
João Queiroz
Graduate Studies Program on History, Philosophy, and Science Teaching, Federal University of Bahia/State University of Feira de Santana, Brazil queirozj@ ecomp.uefs.br (corresponding author)
Advances in Experimental Medicine and Biology · January 2010
DOI: 10.1007/978-0-387-79100-5_5
On Modeling Adaptive and Cognitive Systems
Angelo Loula and João Queiroz
Published in Angelo Loula & João Queiroz (Eds), Advances in Modeling Adaptive and Cognitive Systems. UEFS, 2010.
Self-organization and emergence of semiosis
João Queiroz (1), and Angelo Loula (2,3)
(1) Institute of Arts and Design (UFJF), Brazil. (corresponding: queirozj@pq.cnpq.br)
(2) Dept. of Computer Engineering and Industrial Automation, State University of Campinas (UNICAMP), Brazil.
(3) Dept. of Exact Sciences, State University of Feira de Santana (UEFS), Brazil
Modeling the Emergence and Evolutionary History of Semiotic Systems and Processes
Editorial Preface
Angelo Loula, State University of Feira de Santana, Brazil
João Queiroz, Federal University of Juiz de Fora, Brazil
On the Emergence of Indexical and Symbolic Interpretation in Artificial Creatures, or What is this I Hear?
Angelo Loula , Ricardo Gudwin and João Queiroz
Informatics Area, Department of Exact Sciences, State University of Feira de Santana (UEFS), Brazil Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, State
University of Campinas (UNICAMP), Brazil
Institute of Arts and Design, Federal University of Juiz de Fora (UFJF), Brazil
* queirozj@pq.cnpq.br
Studying Sign Processes in the emergence of Communication
Angelo Loula , Ricardo Gudwin and João Queiroz
Interdisciplinary Engineering of Intelligent Systems. Some Methodological Issues
Gerd Doeben-Henisch, Ute Bauer-Wersing, Louwrence Erasmus, Ulrich Schrader, and Matthias Wagner
University of Applied Sciences Nibelungenplatz 1, 60318 Frankfurt am Main, Germany {ubauer,mfwagner}@fb2.fh-frankfurt.de {mail}@ulrich-schrader.de {g.doeben-henisch,l.erasmus}@ieee.org http://www.fh-frankfurt.de
Published in Angelo Loula & João Queiroz (Eds), Advances in Modeling Adaptive and Cognitive Systems. UEFS, 2010.
Click to access doeben-henisch-adapcog_Brazil_2008.pdf
Is Life Computable?
Anthony Chemero1 & Michael T. Turvey2
1 Scientific and Philosophical Studies of Mind Program, Franklin & Marshall College 2 Center for the Ecological Study of Perception and Action, University of Connecticut
tony.chemero@fandm.edu, michael.turvey@uconn.edu
Published in Angelo Loula & João Queiroz (Eds), Advances in Modeling Adaptive and Cognitive Systems. Editora UEFS, 2010.
Artificial Life: Prospects of a Synthetic Biology
Jon Umerez
Dept. of Logic & Philosophy of Science, University of the Basque Country (UPV/EHU) Tolosa hirib.70, E-20018 Donostia
jon.umerez@ehu.es
Published in Angelo Loula & João Queiroz (Eds), Advances in Modeling Adaptive and Cognitive Systems. UEFS, 2010.
International Journal of Sign and Semiotic Systems
Vol 1 Number 1
Jan – June 2011
Intelligent agents capable of developing memory of their environment
Gul Muhammad Khan, Julian F. Miller, and David M. Halliday
Electrical Engineering Department, NWFP UET Peshawar, Pakistan,
Electronics Department, University of York, York, YO10 5DD,UK gk502@nwfpuet.edu.pk
{jfm7, dh20}@ohm.york.ac.uk
http://www.nwfpuet.edu.pk, http://www.york.ac.uk
Published in Angelo Loula & João Queiroz (Eds), Advances in Modeling Adaptive and Cognitive Systems. Editora UEFS, 2010.
Semiotics, decision sciences and value systems – Greimas contributions to the emergence of XXI century meaning-making challenges
LACERDA NOBRE Ângela, Escola Superior de Ciências Empresariais do Instituto Politécnico de Setúbal ESCE-IPS; CEFI-UCP; CHAM; LABCOM-IFP angela.nobre@esce.ips.pt; lacerda.nobre@gmail.com
Representation in semiotics and in computer science
WINFRIED NÖTH
Semiotica 115-3/4 (1997), 203-213
https://philarchive.org/archive/NTHRIS
Intelligent Systems: A Semiotic Perspective
A M Meystel
Computational Semiotics : An Approach for the Study of Intelligent Systems
Part I : Foundations
Ricardo Gudwin DCA-FEEC-UNICAMP
gudwin@dca.fee.unicamp.br
Fernando Gomide DCA-FEEC-UNICAMP
gomide@dca.fee.unicamp.br
ftp://ftp.dca.fee.unicamp.br/pub/docs/gudwin/publications/rep1_97.pdf
A Sign of Itself
Paul Ryan
Integrating Function of the Sign in Peirce’s Semiotics
M Nadin
https://philarchive.org/archive/NADTIF
Handbook of Semiotics
Advances in Semiotics
Nöth, Winfried.
Indiana University Press
ISBN 10 0253209595
Print ISBN 13 9780253209597
Ebook ISBN 13 9780585037011
1990
A Visual Model of Peirce’s 66 Classes of Signs Unravels His Late Proposal of Enlarging Semiotic Theory
Priscila Borges
L. Magnani et al. (Eds.): Model-Based Reasoning in Science & Technology, SCI 314, pp. 221–237.
Chapter · September 2010 DOI: 10.1007/978-3-642-15223-8_12
Visualizing triadic relations
Diagrams for Charles S. Peirce’s classifications of signs
Priscila Lena Farias & João Queiroz
Information Design Journal 23(2), 127–147
© 2017 John Benjamins Publishing Company
D O I : 10.1075/idj.23.2.03far
Peirce’s Other Ten-Class Typology
Tony Jappy
University of Perpignan Via Domitia, France
Language and Semiotic Studies
Vol. 7 No. 1 Spring 2021
On Peirce’s diagrammatic models for ten classes of signs
- October 2014
- Semiotica 2014(202)
On Peirce’s Theory of Propositions: A Response to Hilpinen
Nathan Houser
Transactions of the Charles S. Peirce Society
Notes for a Dynamic Diagram of Charles Peirce’s Classifications of Signs
Priscila Farias and Queiroz, J. (2000)
Semiotica 131 (1/2), 19–44.
“A New Approach to the Problem of the Order of the Ten Trichotomies and the Classification of Sixty-six Types of Signs in Peirce’s Late Speculative Grammar.”
Restrepo, Jorge Alejandro Flórez and Juliana Acosta López de Mesa.
Transactions of the Charles S. Peirce Society: A Quarterly Journal in American Philosophy, vol. 57 no. 3, 2021, p. 374-396.
Project MUSE muse.jhu.edu/article/845176.
Semiotic Machines
Winfried Nöth
Universität Kassel
Fachbereich 08 Anglistik/Romanistik
Georg-Forster-Straße 3
D-34109 Kassel
noeth@uni-kassel.de
Special Issue on Computational Intelligence and Semiotics
S.E.E.D. Journal (Semiotics, Evolution, Energy, and Development)
Queiroz, J. and Gudwin, R. (Guest Editors)
On diagrams for Peirce’s 10, 28 and 66 classes of signs
PRISCILA FARIAS & JOÃO QUEIROZ
Semiotica. Volume 2003, Issue 147, Pages 165–184, ISSN (Online) 1613-3692, ISSN (Print) 0037-1998, DOI: 10.1515/semi.2003.089
The Biological Substrate of Icons, Indexes, and Symbols in Animal Communication: A Neurosemiotic Analysis of Vervet Monkey Alarm Calls
João Queiroz and Sidarta Ribeiro
10cubes and 3N3: Using interactive diagrams to investigate Charles Peirce’s classifications of signs*
PRISCILA FARIAS and JOAO QUEIROZ
Semiotica 150–1/4 (2004),
Semiosis and pragmatism: Toward a dynamic concept of meaning
João Queiroz, Floyd Merrell
Research Group on History, Philosophy, and Biology Teaching, Institute of Biology, Universidade Federal da Bahia (UFBA), Brazil1
e-mail: queiroz@gmail.com
Department of Foreign Languages and Literature Purdue University, West Lafayette, IN, USA
e-mail: fmerrell@purdue.edu
Sign Systems Studies 34.1, 2006
DOI: 10.12697/SSS.2006.34.1.02
A SEMIOTIC THEORY OF INSTITUTIONALIZATION
YUAN LI
Saint Mary’s College of California
Academy of Management Review 2017, Vol. 42, No. 3, 520–547. https://doi.org/10.5465/amr.2014.0274
A semiotic analysis of the genetic information system*
CHARBEL NIN ̃O EL-HANI, JOA ̃O QUEIROZ, and CLAUS EMMECHE
Viewpoints which Matter 