Connectionists: Connection Science Special Issue on "The Emergence of Language: Neural Network and Adaptive Agent Models"

[Angelo Cangelosi]

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  Angelo

 

 

Connection Science Journal

 

Special Issue on "The Emergence of Language: Neural and Adaptive Agent Models"

 

Volume 17, Issue 3-4, 2005

http://journalsonline.tandf.co.uk/(222bwz45frr1jz55wm1xfv45)/app/home/issue.asp?referrer=parent&backto=journal,1,34;linkingpublicationresults,1:100630,1

 

This special issue has two main aims. The first is to provide an up-to-date account of recent modeling studies of the emergence of language. This is achieved through the inclusion of papers reporting on the latest advances in robotics and computer simulation experiments on language emergence. This special issue includes papers on robotics and embodied systems (Nolfi, Yu, Dominey), adaptive multi-agent systems (Bartlett & Kazakov, Oudeyer, Kaplan) and connectionist simulations (Kuehn and Cruse, Mirolli & Parisi, van der Velde).

The second aim is to identify the key research directions for the future. This is mainly achieved in the two invited papers by Brian MacWhinney and Luc Steels, in addition to specific research issues discussed in individual papers.

 

 

TABLE OF CONTENT

 

Editorial: The emergence of language: neural and adaptive agent models    

            Angelo Cangelosi

            

The emergence of linguistic form in time   

            Brian MacWhinney

            

The emergence and evolution of linguistic structure: from lexical to grammatical communication systems      

            Luc Steels

            

Emergence of communication in embodied agents: co-adapting communicative and non-communicative behaviours   

            Stefano Nolfi

            

Simple models of distributed co-ordination            

            Frédéric Kaplan

            

The origins of syntax: from navigation to language             

            Mark Bartlett and Dimitar Kazakov

            

Emergence of grammatical constructions: evidence from simulation and grounded agent experiments           

            Peter Ford Dominey

            

How can we explain the emergence of a language that benefits the hearer but not the speaker?        

            Marco Mirolli and Domenico Parisi

            

The self-organization of combinatoriality and phonotactics in vocalization systems   

            Pierre-yves Oudeyer

            

Static mental representations in recurrent neural networks for the control of dynamic behavioural sequences             

            Simone Kühn and Holk Cruse

            

Modelling language development and evolution with the benefit of hindsight             

            Frank Van Der Velde

            

The emergence of links between lexical acquisition and object categorization: a computational study            

            Chen Yu

 

---------------- Angelo Cangelosi, PhD ----------------

Reader in Artificial Intelligence and Cognition

Adaptive Behaviour and Cognition Research Group

School of Computing, Communications & Electronics

University of Plymouth

Portland Square Building (A316)

Plymouth PL4 8AA (UK)

E-mail: acangelosi at plymouth.ac.uk 

http://www.tech.plym.ac.uk/soc/staff/angelo <http://www.tech.plym.ac.uk/soc/staff/angelo> 

(tel) +44 1752 232559 (fax) +44 1752 232540