From ion.juvina at wright.edu Wed Jan 4 13:43:44 2017 From: ion.juvina at wright.edu (Ion Juvina) Date: Wed, 4 Jan 2017 13:43:44 -0500 Subject: [ACT-R-users] job opening: computational cognitive scientist Message-ID: Dear Colleagues, The Wright State Research Institute (WSRI), a component of Wright State University in Dayton Ohio, is hiring a Computational Cognitive Scientist with expertise in the areas of human and machine learning. Interested applicants can apply here: https://jobs.wright.edu/postings/11106 This is an excellent opportunity for someone who recently received their PhD and is seeking a career path outside the traditional academic route, but who values the intellectual dynamism of a university environment. Because WSRI is a relatively young organization, this is also a great opportunity for a motivated individual to get in on the ground floor and help shape the future research direction of WSRI?s cognitive science portfolio. We are especially interested in candidates who possess a high degree of self-direction and who are willing to grow into a leadership role over time. The Computational Cognitive Scientist (CCS) position is a full time, permanent position. Initially, the CCS will conduct research in support of an Ohio state-funded project called Human-Centered Big Data, which aims to make ?black box? machine learning systems -- including, but not limited to, deep neural nets -- more transparent to human users. The CCS will also have the opportunity to contribute to a wide range of other projects focused on modeling and improving human cognition at both the individual and group levels. Applicants must be US citizens. Further inquiries can be made directly to: brandon.minnery at wright.edu Brandon Minnery, Ph.D. Director of Research Wright State Research Institute Wright State University -------------- next part -------------- An HTML attachment was scrubbed... URL: From ion.juvina at wright.edu Wed Jan 4 13:43:44 2017 From: ion.juvina at wright.edu (Ion Juvina) Date: Wed, 4 Jan 2017 13:43:44 -0500 Subject: [ACT-R-users] job opening: computational cognitive scientist Message-ID: Dear Colleagues, The Wright State Research Institute (WSRI), a component of Wright State University in Dayton Ohio, is hiring a Computational Cognitive Scientist with expertise in the areas of human and machine learning. Interested applicants can apply here: https://jobs.wright.edu/postings/11106 This is an excellent opportunity for someone who recently received their PhD and is seeking a career path outside the traditional academic route, but who values the intellectual dynamism of a university environment. Because WSRI is a relatively young organization, this is also a great opportunity for a motivated individual to get in on the ground floor and help shape the future research direction of WSRI?s cognitive science portfolio. We are especially interested in candidates who possess a high degree of self-direction and who are willing to grow into a leadership role over time. The Computational Cognitive Scientist (CCS) position is a full time, permanent position. Initially, the CCS will conduct research in support of an Ohio state-funded project called Human-Centered Big Data, which aims to make ?black box? machine learning systems -- including, but not limited to, deep neural nets -- more transparent to human users. The CCS will also have the opportunity to contribute to a wide range of other projects focused on modeling and improving human cognition at both the individual and group levels. Applicants must be US citizens. Further inquiries can be made directly to: brandon.minnery at wright.edu Brandon Minnery, Ph.D. Director of Research Wright State Research Institute Wright State University -------------- next part -------------- An HTML attachment was scrubbed... URL: From coty at cmu.edu Wed Jan 4 15:42:17 2017 From: coty at cmu.edu (Cleotilde Gonzalez) Date: Wed, 4 Jan 2017 20:42:17 +0000 Subject: [ACT-R-users] Intro to Cognitive Modeling? Message-ID: Dear ACT-R modelers: Would any of you know of a short but comprehensive introduction to cognitive modeling? A book chapter, a general article easy to accessible for undergraduate students? Thank you, Coty -------------- next part -------------- An HTML attachment was scrubbed... URL: From yliu at zju.edu.cn Wed Jan 4 22:29:56 2017 From: yliu at zju.edu.cn (yliu at zju.edu.cn) Date: Thu, 5 Jan 2017 11:29:56 +0800 (GMT+08:00) Subject: [ACT-R-users] Intro to Cognitive Modeling? In-Reply-To: References: Message-ID: <4bc3d479.17123.1596cad0a3f.Coremail.yliu@zju.edu.cn> Hi, Coty http://www.cogmo.org/paperlist.jsp This link i collect some papers related to cognitive modeling. I don't know whether or not it is useful to your students. Some papers i think it is essential for beginner, its title have been bold face in red color. Regards, Yanfei -----????----- ???: "Cleotilde Gonzalez" ????: 2017?1?5? ??? ???: "act-r-users at act-r.psy.cmu.edu" ??: ??: [ACT-R-users] Intro to Cognitive Modeling? Dear ACT-R modelers: Would any of you know of a short but comprehensive introduction to cognitive modeling? A book chapter, a general article easy to accessible for undergraduate students? Thank you, Coty -- --------------------------------------------- Assoc. Prof. Dr. Yanfei Liu Tel: +8657186843323 Fax: +8657186843576 Mobil: +8613957185669 Room 320, Building No. 3N Department of Computer Science and Technology Zhejiang Sci-Tech Univ. Xiasha High Educational Park Hangzhou, Zhejiang, P. R. China 310018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.halbruegge at gmx.de Thu Jan 5 05:34:40 2017 From: marc.halbruegge at gmx.de (=?UTF-8?Q?Marc_Halbr=c3=bcgge?=) Date: Thu, 5 Jan 2017 11:34:40 +0100 Subject: [ACT-R-users] Intro to Cognitive Modeling? In-Reply-To: References: Message-ID: Hi Coty, I think this depends on the context and the intended area of application (e.g., learning, problem solving, HCI). In an course about cognitive modeling in HCI, I pointed my students to Michael Byrne's chapter "Cognitive Architecture" in the Jacko+Sears "Human-Computer Interaction Handbook". Another option in this domain would be Wayne Gray's "Cognitive architectures: Choreographing the dance of mental operations with the task environment" Greetings from Berlin, Marc @INCOLLECTION{Byrne2008-CognitiveArchitecture, author = {Michael D Byrne}, title = {Cognitive Architecture}, booktitle = {The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications}, publisher = {Lawrence Erlbaum Associates}, year = {2008}, editor = {Sears, Andrew and Jacko, Julie A}, pages = {93--114}, address = {New York, NY}, edition = {2} } @ARTICLE{Gray2008-CognitiveArchitectures, author = {Gray, Wayne D}, title = {Cognitive architectures: Choreographing the dance of mental operations with the task environment}, journal = {Human Factors: The Journal of the Human Factors and Ergonomics Society}, year = {2008}, volume = {50}, pages = {497--505}, number = {3}, doi={10.1518/001872008X312224} } Am 04.01.2017 um 21:42 schrieb Cleotilde Gonzalez: > Dear ACT-R modelers: > > Would any of you know of a short but comprehensive introduction to > cognitive modeling? A book chapter, a general article easy to > accessible for undergraduate students? > > > > Thank you, > > > > Coty > > > > _______________________________________________ > ACT-R-users mailing list > ACT-R-users at act-r.psy.cmu.edu > https://mailman.srv.cs.cmu.edu/mailman/listinfo/act-r-users > From troy.d.kelley6.civ at mail.mil Thu Jan 5 12:26:15 2017 From: troy.d.kelley6.civ at mail.mil (Kelley, Troy D CIV USARMY RDECOM ARL (US)) Date: Thu, 5 Jan 2017 17:26:15 +0000 Subject: [ACT-R-users] Intro to Cognitive Modeling? In-Reply-To: References: , Message-ID: Pat Langley just published an overview paper. Progress and Challenges in Research on Cognitive Architectures Sorry I don't have the complete ref. Google it.... Troy D. Kelley Human Research and Engineering Directorate U.S. Army Research Laboratory Aberdeen, MD 21005 voice 410-278-5869 fax 410-278-9523 ________________________________ From: ACT-R-users [act-r-users-bounces at ACTR-SERVER.HPC1.CS.cmu.edu] on behalf of Marc Halbr?gge [marc.halbruegge at gmx.de] Sent: Thursday, January 05, 2017 5:34 AM To: act-r-users at ACTR-SERVER.HPC1.CS.cmu.edu Subject: Re: [ACT-R-users] Intro to Cognitive Modeling? Hi Coty, I think this depends on the context and the intended area of application (e.g., learning, problem solving, HCI). In an course about cognitive modeling in HCI, I pointed my students to Michael Byrne's chapter "Cognitive Architecture" in the Jacko+Sears "Human-Computer Interaction Handbook". Another option in this domain would be Wayne Gray's "Cognitive architectures: Choreographing the dance of mental operations with the task environment" Greetings from Berlin, Marc @INCOLLECTION{Byrne2008-CognitiveArchitecture, author = {Michael D Byrne}, title = {Cognitive Architecture}, booktitle = {The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications}, publisher = {Lawrence Erlbaum Associates}, year = {2008}, editor = {Sears, Andrew and Jacko, Julie A}, pages = {93--114}, address = {New York, NY}, edition = {2} } @ARTICLE{Gray2008-CognitiveArchitectures, author = {Gray, Wayne D}, title = {Cognitive architectures: Choreographing the dance of mental operations with the task environment}, journal = {Human Factors: The Journal of the Human Factors and Ergonomics Society}, year = {2008}, volume = {50}, pages = {497--505}, number = {3}, doi={10.1518/001872008X312224} } Am 04.01.2017 um 21:42 schrieb Cleotilde Gonzalez: > Dear ACT-R modelers: > > Would any of you know of a short but comprehensive introduction to > cognitive modeling? A book chapter, a general article easy to > accessible for undergraduate students? > > > > Thank you, > > > > Coty > > > > _______________________________________________ > ACT-R-users mailing list > ACT-R-users at act-r.psy.cmu.edu > https://mailman.srv.cs.cmu.edu/mailman/listinfo/act-r-users > _______________________________________________ ACT-R-users mailing list ACT-R-users at act-r.psy.cmu.edu https://mailman.srv.cs.cmu.edu/mailman/listinfo/act-r-users -------------- next part -------------- An HTML attachment was scrubbed... URL: From r.m.young at acm.org Thu Jan 5 12:33:11 2017 From: r.m.young at acm.org (Richard M Young) Date: Thu, 5 Jan 2017 17:33:11 +0000 Subject: [ACT-R-users] Intro to Cognitive Modeling? In-Reply-To: References: Message-ID: <4C0C23D2-E831-435E-AA6C-A610F2DCD3AE@acm.org> Coty, The reference is now ageing a bit, but I remember recommending the introductory chapter of Rick Cooper's textbook on cognitive modelling: R. P. Cooper (2002), "Modelling High-Level Cognitive Processes", Erlbaum. (Chapter 1, "Modelling Cognition.) ~ Richard On 4 Jan 2017, at 20:42, Cleotilde Gonzalez wrote: > Dear ACT-R modelers: > Would any of you know of a short but comprehensive introduction to cognitive modeling? A book chapter, a general article easy to accessible for undergraduate students? > > Thank you, > > Coty -------------- next part -------------- An HTML attachment was scrubbed... URL: From R.Cooper at bbk.ac.uk Thu Jan 5 14:08:13 2017 From: R.Cooper at bbk.ac.uk (Rick Cooper) Date: Thu, 5 Jan 2017 19:08:13 +0000 Subject: [ACT-R-users] Intro to Cognitive Modeling? In-Reply-To: <4C0C23D2-E831-435E-AA6C-A610F2DCD3AE@acm.org> References: <4C0C23D2-E831-435E-AA6C-A610F2DCD3AE@acm.org> Message-ID: Thanks Richard for suggesting this chapter. It is old, and I haven't read it for 10 years, but the level is probably about right. I don't believe the PDF is readily available, but given that the book is now 14 years old I've attached it here. (Taylor and Francis still distribute the book if anyone is interested.) Best, Rick On 5 January 2017 at 17:33, Richard M Young wrote: > Coty, > > The reference is now ageing a bit, but I remember recommending the > introductory chapter of Rick Cooper's textbook on cognitive modelling: > > R. P. Cooper (2002), "Modelling High-Level Cognitive Processes", Erlbaum. > (Chapter 1, "Modelling Cognition.) > > ~ Richard > > On 4 Jan 2017, at 20:42, Cleotilde Gonzalez wrote: > > Dear ACT-R modelers: > Would any of you know of a short but comprehensive introduction to > cognitive modeling? A book chapter, a general article easy to accessible > for undergraduate students? > > Thank you, > > Coty > > > > _______________________________________________ > ACT-R-users mailing list > ACT-R-users at act-r.psy.cmu.edu > https://mailman.srv.cs.cmu.edu/mailman/listinfo/act-r-users > > -- Rick Cooper, PhD Professor of Cognitive Science http://www.bbk.ac.uk/psychology/our-staff/academic/richard-cooper Centre for Cognition, Computation and Modelling Department of Psychological Sciences, Birkbeck, University of London Malet Street, London, WC1E 7HX -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: chapter1.pdf Type: application/pdf Size: 451880 bytes Desc: not available URL: From stocco at uw.edu Thu Jan 5 15:27:18 2017 From: stocco at uw.edu (Andrea Stocco) Date: Thu, 5 Jan 2017 12:27:18 -0800 Subject: [ACT-R-users] Intro to Cognitive Modeling? In-Reply-To: References: <4C0C23D2-E831-435E-AA6C-A610F2DCD3AE@acm.org> Message-ID: <586EAC26.7080701@uw.edu> Thanks for sharing the chapter, Rick---very useful! --Andrea On 1/5/2017 11:08 AM, Rick Cooper wrote: > Thanks Richard for suggesting this chapter. > > It is old, and I haven't read it for 10 years, but the level is probably > about right. I don't believe the PDF is readily available, but given > that the book is now 14 years old I've attached it here. (Taylor and > Francis still distribute the book if anyone is interested.) > > Best, > > Rick > > On 5 January 2017 at 17:33, Richard M Young > wrote: > > Coty, > > The reference is now ageing a bit, but I remember recommending the > introductory chapter of Rick Cooper's textbook on cognitive modelling: > > R. P. Cooper (2002), "Modelling High-Level Cognitive Processes", > Erlbaum. (Chapter 1, "Modelling Cognition.) > > ~ Richard > > On 4 Jan 2017, at 20:42, Cleotilde Gonzalez wrote: > >> Dear ACT-R modelers:____ >> Would any of you know of a short but comprehensive introduction to >> cognitive modeling? A book chapter, a general article easy to >> accessible for undergraduate students?____ >> __ __ >> Thank you,____ >> __ __ >> Coty____ > > > _______________________________________________ > ACT-R-users mailing list > ACT-R-users at act-r.psy.cmu.edu > https://mailman.srv.cs.cmu.edu/mailman/listinfo/act-r-users > > > > > > -- > Rick Cooper, PhD > Professor of Cognitive Science > http://www.bbk.ac.uk/psychology/our-staff/academic/richard-cooper > Centre for Cognition, Computation and Modelling > Department of Psychological Sciences, > Birkbeck, University of London > Malet Street, London, WC1E 7HX > > > _______________________________________________ > ACT-R-users mailing list > ACT-R-users at act-r.psy.cmu.edu > https://mailman.srv.cs.cmu.edu/mailman/listinfo/act-r-users > From rsun at rpi.edu Mon Jan 9 16:12:34 2017 From: rsun at rpi.edu (Professor Ron Sun) Date: Mon, 9 Jan 2017 16:12:34 -0500 Subject: [ACT-R-users] Special Issue on Deep Reinforcement Learning in the journal Neural Networks Message-ID: <1B766282-74AA-4211-A118-515D61CEE941@rpi.edu> Call for Papers: Special Issue on Deep Reinforcement Learning in Neural Networks Deep learning (DL) has become highly popular in recent years, among theoretically minded and application-focused researchers alike. Moreover, the idea of deep learning has been combined with reinforcement learning (RL), leading to deep reinforcement learning, which has achieved notable successes in tackling difficult problems, including the achievement of AlphaGo. However, there are many open questions and issues that need to be addressed with regard to deep RL. Open questions with regard to deep RL include: ? How do we extend RL algorithms or systems to make them suitable for deep learning? How do we make RL (typically centered on values of states or state-action pairings) appropriately deep? ? How do we do so without jeopardizing useful characteristics of RL? ? What modification and enhancements to learning algorithms are necessary to accomplish deep RL in an effective and/or efficient manner? ? How can we make knowledge within deep RL systems explicit (generating explicit, symbolic, usable knowledge) and enable metacognitive reflection and regulation to some extent? ? How can deep learning help facilitate planning or model-based reinforcement learning? ? How can hierarchical or modular approaches be applied to deep RL? ? What theoretical/mathematical properties can be obtained with regard to deep RL (e.g., convergence, stability, robustness, and optimality)? ? How do we apply deep RL in real-world scenarios? The aim of this special issue is to showcase state-of-the-art work in the field of deep RL, addressing some of the above questions and beyond. Although there have no doubt been advances in addressing these questions, there is clearly room for further development. This special issue will provide a platform for deep learning and reinforcement learning researchers to share their work, for the sake of more rapid advances on a solid footing, fully realizing the potential of infusing reinforcement learning and deep learning. It also intends to showcase more effective applications in a variety of fields (robotics, control engineering, data analysis, and so on). We invite original research contributions on deep reinforcement learning (broadly defined). Possible topics for this special issue include, among others: ? New and better deep RL algorithms ? New and better neural network architectures for deep RL ? Better combinations of existing algorithms and techniques for deep RL ? Theories regarding deep RL ? Mathematical analysis of deep RL (regarding convergence, optimality, stability, robustness, and so on) ? Transfer learning and prior knowledge within deep RL ? Coping with uncertainty in deep RL ? Combining policy learning, value learning, and model-based search ? Symbolic structures from or within deep RL ? Planning and deep RL ? Hierarchical or modular RL ? Multi-agent RL ? Applications of deep RL algorithms, architectures, and systems to robotics, control, data analysis, prediction and forecast, modeling and simulation, and so on ? Applications of deep RL to cognitive-psychological or social modeling and analysis Survey papers are welcome also. Submission Procedure: Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at http://ees.elsevier.com/neunet/. During submission, authors should indicate that their papers are for the special issue. Important Dates ? July 1, 2017 ? Deadline for submission ? December 1, 2017 ? Notification of review decisions to authors ? February 1, 2018 ? Deadline for submission of revised versions ? April 1, 2018 ? Final acceptance decision Guest Editors: Ron Sun, Ph.D. Professor, Cognitive Science Department Rensselaer Polytechnic Institute 110 Eighth Street, Carnegie 302A Troy, NY 12180, USA http://sites.google.com/site/drronsun David Silver, Ph.D Google DeepMind, London University College London http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Home.html Gerald Tesauro, Ph.D Principal Research Staff Member Thomas J. Watson Research Center, Yorktown Heights, NY, USA http://researcher.watson.ibm.com/researcher/view_person_pubs.php?person=us-gtesauro&t=1 Guang-Bin Huang, PhD Professor, School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue, Singapore 639798 http://research.ntu.edu.sg/expertise/academicprofile/Pages/StaffProfile.aspx?ST_EMAILID=EGBHUANG ======================================================== Professor Ron Sun, Ph.D., FIEEE, FAPS Cognitive Science Department Rensselaer Polytechnic Institute 110 Eighth Street, Carnegie 302A Troy, NY 12180, USA phone: 518-276-3409 fax: 518-276-3017 email: dr.ron.sun [AT] gmail.com web: http://sites.google.com/site/drronsun ======================================================= From pblouw at uwaterloo.ca Wed Jan 11 00:02:08 2017 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Wed, 11 Jan 2017 00:02:08 -0500 Subject: [ACT-R-users] Feb. 15 Application Deadline - 2017 Nengo Summer School Message-ID: Hello! [All details about this school can be found online at http://www.nengo.ca/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is inviting applications for our 4th annual summer school on large-scale brain modeling. This two-week school will teach participants how to use the Nengo software package to build state-of-the-art cognitive and neural models to run in simulation and on neuromorphic hardware. Nengo has been used to build what is currently the world's largest functional brain model, Spaun [1], and provides users with a versatile and powerful environment for designing cognitive and neural systems to run in simulated and real environments. For a look at last year's summer school, check out this short video: https://goo.gl/EkhWCJ We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals. No specific training in the use of modeling software is required, but we encourage applications from active researchers with a relevant background in psychology, neuroscience, cognitive science, robotics, neuromorphic engineering, computer science, or a related field. [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://nengo.ca/publications/spaunsciencepaper] ****Application Deadline: February 15, 2017**** *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! *Topics Covered*: Participants will have the opportunity to learn how to: - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with various kinds of neuromorphic hardware (e.g. SpiNNaker) - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more? *Date and Location*: June 4th to June 16th, 2017 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ca/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (pblouw at uwaterloo.ca). We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From yliu at zju.edu.cn Thu Jan 19 04:23:36 2017 From: yliu at zju.edu.cn (yliu at zju.edu.cn) Date: Thu, 19 Jan 2017 17:23:36 +0800 (GMT+08:00) Subject: [ACT-R-users] Fw: The 2nd International Conference on Cognition Computing and Intelligence System Message-ID: <32d953f3.1253a.159b609dd62.Coremail.yliu@zju.edu.cn> | Welcome to The 2nd International Conference on Cognition Computing and Intelligence System (October 19-20, 2017 Hangzhou, China) | | Home Call for Paper Program Keynotes Conference Agenda ACT-R Crash Course Crash Course Agenda Registration Venue Tourism | The CCIS 2017 (The 2nd International Conference on Cognition Computing and Intelligence System) is a biannual research conference aims to bring together researchers around the world to exchange research results and address open issues in all aspects of Cognition Computing and Intelligent System since it was first held in 2015. Cognition Computing is to explore mechanism and process of cognition system by using mathematical model and simulation methods, and it aims to make a remedy for human being's cognitive deficit and yield machine with human being's intelligent. While the direct purpose of Intelligent System is to build system with Artificial Intelligent by applying different techniques. These years Artificial Intelligent developed very quickly, and lots of new techniques such as deep learning, reinforcement learning and spiking neural network etc. are appearing in new intelligent applications. Some efforts of interdisciplinary including cognitive science, artificial intelligence, and the social sciences, especially such as cognitive architecture, have evolved an understanding of human cognitive processes in societies. What roles will be the research on computational cognition influence on intelligent system? In this conference we will examine these questions and many more. We invite submissions of research that investigate any of the topics listed in the conference topic scope. The CCIS 2017 will be held in Hangzhou, China during October 19-20, 2017 together with the ACT-R Crash Course 2017(China). The current conference is co - sponsored by CCF(China Computer Federation)(approving), QAAS (Qiushi Academy for Advanced Studies at Zhejiang University) and ACC(Astronaut Center of China)(to be confirmed). The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry. CCIS 2017 will feature invited keynotes as well as peer-reviewed paper presentations. The conference is completely open (one need to register first), you will not have to be an author or a discussant to attend. Accepted papers (Registered & Presented) will be published in the International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by EI Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science)(under approval). Submission paper should be prepaired in ACM Proceedings article format(download ACM SIG Proceedings MS Word Templates), or you can under the instruction showing in ACM SIG Proceedings Templates pages. The poster are welcome during the conference, please follow the template (Download Poster Template) prepare your poster. We look forward to welcoming you to the 2nd CCIS conference, Hanzghou, PR. CHINA! | | Institute of Cognition Computation & Intelligent System Zhejiang Sci-Tech University Hangzhou, P. R. China 310018 | -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 21573 bytes Desc: not available URL: From m.k.van.vugt at rug.nl Mon Jan 30 10:36:38 2017 From: m.k.van.vugt at rug.nl (Marieke van Vugt RUG) Date: Mon, 30 Jan 2017 16:36:38 +0100 Subject: [ACT-R-users] announcement ICCM 2017 in Warwick, UK, July 22-25th Message-ID: <48EFD379-E3E3-49AE-8B75-E86C3842C0BF@rug.nl> Call for papers MathPsych/ICCM 2017 July 22nd-25th, 2017 (July 22nd is for Workshops, Tutorials & Opening reception) University of Warwick, Coventry, United Kingdom <>We would like to invite you to the 15th International Conference on Cognitive Modeling (ICCM): the premier conference for research on computational models and computation-based theories of human cognition. This year, ICCM has joined forces with the Society for Mathematical Psychology and the European Mathematical Psychology Group 2017 meeting to create a conference in which all sessions are open to all attendees, and cross-talk is highly encouraged. MathPsych/ICCM 2017 is a forum for presenting and discussing the complete spectrum of cognitive modeling approaches, including connectionism, symbolic modeling, dynamical systems, Bayesian modeling, and cognitive architectures. Research topics can range from low-level perception to high-level reasoning. We also welcome contributions that use computational models to better understand neuroscientific data. We are pleased to announce three world-class invited speakers: Peter Dayan (University College London), Randy Gallistel (Rutgers University), Joe Houpt (Wright State University, Estes Early Career Award winner). We will also have four invited symposia: - Using Cognitive Models to Inform Neuroimaging Data (And Vice Versa!). Organizer: Jelmer Borst - Models of Decision from Experience. Organizer: Ido Erev - Bridging Levels of Analysis with Rational Process Models. Organizers: Tom Griffiths and Adam Sanborn - Advances in Distributional Models of Language and Meaning. Organizers: John Willits and Melody Dye We have separate submissions for the MathPsych parallel tracks and the ICCM single-track. For MathPsych, submissions are brief abstracts to be considered for both talks and posters. For ICCM submissions are 6-page full papers to be considered for talks, and 2-page poster abstracts. We are working with topiCS to create a special issue based on the best full ICCM papers. Submissions may be made by researchers, faculty, post-docs, graduate students and undergraduate students. Any one person may present only one paper, but may also be a co-author of other papers (this rule applies across the two conferences, i.e., when you are presenting author of a MathPsych paper, you cannot also be a presenting author of an ICCM paper). We also welcome pre-conference workshop/tutorial submissions that are not specific to MathPsych or ICCM. All types of submissions are due on March 15th, 11.59pm CEST. More information can be found on our website: http://mathpsych.org/conferences/2017/ Note that early-bird registration will be ?200 (faculty) and ?100 (students) and includes lunch. Limited hotel accommodation will be available on-site for a fee of ?100/night (including breakfast and dinner). Conference hotel accommodation can only be booked through the conference website during registration. Registration will open on March 1st. We hope to see you in Warwick! Marieke van Vugt, Adrian Banks, Bill Kennedy (ICCM co-chairs) Adam Sanborn, Gordon Brown, James Adelman (MathPsych co-chairs) -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt twitter: @mvugt m.k.van.vugt at rug.nl / mkvanvugt at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1790 bytes Desc: not available URL: