David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Frontiers in Human Neuroscience 5 (2011)
Human intentional communication is marked by its flexibility and context sensitivity. Hypothesized brain mechanisms can provide convincing and complete explanations of the human capacity for intentional communication only insofar as they can match the computational power required for displaying that capacity. It is thus of importance for cognitive neuroscience to know how computationally complex intentional communication actually is. Though the subject of considerable debate, the computational complexity of communication remains so far unknown. In this paper we defend the position that the computational complexity of communication is not a constant, as some views of communication seem to hold, but rather a function of situational factors. We present a methodology for studying and characterizing the computational complexity of communication under different situational constraints. We illustrate our methodology for a model of the problems solved by receivers and senders during a communicative exchange. This approach opens the way to a principled identification of putative model parameters that control cognitive processes supporting intentional communication.
|Keywords||communication computational complexity computational modeling intractability Bayesian modeling goal inference|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Iris Rooij, Cory D. Wright & Todd Wareham (2012). Intractability and the Use of Heuristics in Psychological Explanations. Synthese 187 (2):471-487.
Felix Ortega (2012). Complexity and Communication 3.0. World Futures 68 (4-5):273 - 279.
Mauricio Salgado & Nigel Gilbert (2013). Emergence and Communication in Computational Sociology. Journal for the Theory of Social Behaviour 43 (1):87-110.
Rainer Reisenzein & Martin Junge (2012). Language and Emotion From the Perspective of the Computational Belief-Desire Theory of Emotion. In Dynamicity in Emotion Concepts.
Ron Sun (2008). Introduction to Computational Cognitive Modeling. In , The Cambridge Handbook of Computational Psychology. Cambridge University Press. 3--19.
Marcin Zajenkowski, Rafał Styła & Jakub Szymanik (2011). A Computational Approach to Quantifiers as an Explanation for Some Language Impairments in Schizophrenia. Journal of Communication Disorder 44:2011.
Ron Sun (ed.) (2008). The Cambridge Handbook of Computational Psychology. Cambridge University Press.
Melissa A. Cook & Annette Holba (eds.) (2008). Philosophies of Communication: Implications for Everyday Experience. Peter Lang.
Wolfram Latsch (2003). Androids and Agents: Do We Need a Non‐Computational Economics? Journal of Economic Methodology 10 (3):375-396.
Added to index2011-10-07
Total downloads19 ( #84,898 of 1,096,562 )
Recent downloads (6 months)7 ( #29,393 of 1,096,562 )
How can I increase my downloads?