Event[edit]

Acronym*: The Acronym, E.g "ESWC 2009"
title: This property is of the datatype Text and it is being used to specify the full title* of events, event series, journals, papers, organizations or projects.	Template:FieldByProperty
Homepage: It is used to provide the official website of an academic event or an event series.	Template:FieldByProperty
Start date: Used to provide the start date* of an academic event or a project.	Template:FieldByProperty
Property:End date:	Template:FieldByProperty
EventType: This property of the datatype Text is used to specify the format of an academic event.:
Event in series: It is used to state that an academic event is part of a specific academic event series.	Template:FieldByProperty
Ordinal: This property of the datatype Number represents the number of times an event has already occured. Thereby it informs about the age of an event series. This property is not needed for the DOI registration process via DataCite and is optional.	Template:FieldByProperty
Country: Used to describe the country where something is located in.	Template:FieldByProperty
Property:Has location state:	Template:FieldByProperty
Property:Has location city:	Template:FieldByProperty
Property:Has subject:	Template:FieldByProperty
Property:Sponsor:	Template:FieldByProperty

Property:GND-ID:	Template:FieldByProperty
Property:WikiCFP ID:	Template:FieldByProperty
Wikidataid: A unique ID for the wiki data website	Template:FieldByProperty

Call for Papers “Cognition and Computation” Special issue of Reti, Saperi, Linguaggi. Italian Journal of Cognitive Sciences https://www.mulino.it/riviste/issn/2279-7777 One of the founding ideas of cognitive science is that cognition is essentially computation. From the very start, many have denied this view, but in recent times computationalism has increasingly come under attack from several different fronts. From a quick glance at the current cognitive science scenario, one comes away with the impression that several of the criticisms raised against the computational view of mind, rather than leading to the abandonment of computationalism altogether, have instead served to advancing it in several respects. The aim of this call is to collect reflections regarding this scenario. The following is a list of challenges to computationalism, by no means exhaustive, which have spawned new research efforts within the computational paradigm. • Emotion and consciousness are the mental phenomena more often alleged as defeating computational explanations. Seemingly, computations have affectless, flavorless connotations. Yet, the challenge has been taken seriously, and today research domains such as cognitive affective computation, and machine consciousness, have grown remarkably. • Embodiment and enactivism have been, and are today, the strongest alternatives proposed to the computational view of mind. However, there are several new research directions, within the computational paradigm, that emphasize the embedding of computational systems within physical body structures and their environment, like, for example, in the field of cognitive robotics. • Predictive theories of the brain, spanning from Bayesian approaches to free-energy principles, are finding increasingly wide audiences. Even if not conceived as radical alternatives to computationalism, it is often argued that these approaches imply a conceptual shift with respect to mainstream computational modeling. However, others hold that several existing computational modeling approaches can be given a natural probabilistic interpretation that is compatible, and enriched, by the recent probabilistic theories of brain and cognition. • Mechanistic explanations are gaining traction in most special sciences, especially biology and neuroscience. Even if in the early days computation was often seen as the most precise way for explaining mechanisms, the new mechanistic philosophers tend to conceptualize mechanisms in ways that do not require computation. However, a big theoretical effort is currently underway that relates the new notion of mechanism with computation once again. • Computationalism has often been criticized for relying on concepts borrowed from theoretical computer science, that lose sense when taken out of their original context and applied to foreign realms like the mind. This criticism has been raised, for example, in regard to computable functions, symbols, computation complexity. Actually, recent advances within theoretical computer science may offer new refined concepts that may greatly help cognitive science as well. The notion of computation has itself been the center of deep theoretical reflection. Computational complexity has significantly been advanced, for example, with parameterized complexity theory, something that has been recently applied in cognitive science. The above suggestions are by no means exhaustive, and explorations of other challenges faced by computationalism today are encouraged. Invited Contributors Raúl Arrabales Mark Blokpoel, Johan Kwisthout, Iris van Rooij and Todd Wareham Marcello Frixione Alistair Isaac Marcin Miłkowski Vincent Müller Matthias Scheutz Roman Yampolskiy Submissions should adhere to the following guidelines: Articles should be submitted in blind review format. Please omit any self–identifying information within the abstract and body of the paper. Max length: 35.000 characters (including spaces, references and an abstract of no more than 150 words). Please use the APA citation style for references. Language: English Guest Editor: Alessio Plebe Submissions should be sent via e-mail to: aplebe[at]unime.it Important dates: Deadline for submissions: July 31th, 2017 Notification of acceptance: October 15th, 2017

To save your changes, click the 'Save' tab at the top of the page, then click the 'Save page' button.

Summary:

This is a minor edit

Watch this page

Cancel

Edit Event: RSL-IJCS 2017 : COGNITION AND COMPUTATION

Event[edit]

Navigation menu

Search