From cl at cmu.edu Fri Jun 4 16:48:30 2010 From: cl at cmu.edu (Christian Lebiere) Date: Fri, 04 Jun 2010 16:48:30 -0400 Subject: [ACT-R-users] Research Positions in Cognitive Modeling at CMU Message-ID: Applications are welcome for research positions in the Psychology Department at Carnegie Mellon University under the direction of Dr. Christian Lebiere. Positions include two postdoctoral researchers and a research programmer. The goals of the projects are to investigate the application of hybrid cognitive architectures consisting of symbolic, statistical and neural processes and representations to robotic control systems. The projects are funded by multi-year grants from the Army Research Laboratories (ARL) and the Defense Advanced Research Project Agency (DARPA). Specific areas of interest include but are not limited to: 1) Integrating symbolic and neural cognitive architectures. 2) Integrating symbolic reasoning and statistical learning processes. 3) Applying hybrid cognitive architectures to robotic control problems including autonomy and mixed human-robot teams. 4) Applying cognitive architectures to human-robot interaction problems including operator situation awareness and human-guided learning in robots. 5) Integrating computational and cognitive techniques for understanding complex visual scenes. Postdoctoral candidates should have a doctorate in cognitive psychology, cognitive science, computer science, or robotics, with a background in computational modeling and a strong interest in both basic research in cognitive science and its practical applications. Research programmer candidates should have a BS in computer science (MS preferred) or equivalent experience, with a background in modeling and simulation preferred. All candidates should submit their CV to the address below, and postdoctoral candidates should also include a letter describing their research interests and goals, and at least 2 letters of recommendation. These positions are open immediately and offer competitive salary and benefits. Carnegie Mellon University offers a stimulating research environment in livable Pittsburgh, Pennsylvania. To apply or obtain additional information, contact: Dr. Christian Lebiere Psychology Department Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 Tel: 412-268-6028 Email: cl at cmu.edu From pavel at dit.unitn.it Tue Jun 15 13:28:09 2010 From: pavel at dit.unitn.it (Pavel Shvaiko) Date: Tue, 15 Jun 2010 19:28:09 +0200 Subject: [ACT-R-users] 1st CFP: ISWC'10 workshop on Ontology Matching (OM-2010) Message-ID: <1ED03078A6C34CFA89719037E4F798F8@ITN96946> Apologies for cross-postings -------------------------------------------------------------------------- CALL FOR PAPERS -------------------------------------------------------------------------- The Fifth International Workshop on ONTOLOGY MATCHING (OM-2010) http://om2010.ontologymatching.org/ November 7 or 8, 2010, ISWC'10 Workshop Program, Shanghai, China BRIEF DESCRIPTION AND OBJECTIVES Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic in some classical data integration tasks. It takes the ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging and data translation. Thus, matching ontologies enables the knowledge and data expressed in the matched ontologies to interoperate. The workshop has two goals: 1. To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve. 2. To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2010 campaign: http://oaei.ontologymatching.org/2010/. The particular focus of this year's OAEI campaign is on real-world specific matching tasks involving, e.g., biomedical ontologies and linked data. Therefore, the ontology matching evaluation initiative itself will provide a solid ground for discussion of how well the current approaches are meeting business needs. TOPICS of interest include but are not limited to: Business and use cases for matching (e.g., open linked data); Requirements to matching from specific domains; Application of matching techniques in real-world scenarios; Formal foundations and frameworks for ontology matching; Ontology matching patterns; Instance matching; Large-scale ontology matching evaluation; Performance of matching techniques; Matcher selection and self-configuration; Uncertainty in ontology matching; User involvement (including both technical and organizational aspects); Explanations in matching; Social and collaborative matching; Alignment management; Reasoning with alignments; Matching for traditional applications (e.g., information integration); Matching for dynamic applications (e.g., search, web-services). SUBMISSIONS Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2010 campaign. Technical papers should be not longer than 12 pages using the LNCS Style: http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-164-2-72376-0,00.html Posters/statements of interest should not exceed 2 pages and should be handled according to the guidelines for technical papers. All contributions should be prepared in PDF format and should be submitted through the workshop submission site at: http://www.easychair.org/conferences/?conf=om20100 Contributors to the OAEI 2010 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2010/. *TENTATIVE* IMPORTANT DATES FOR TECHNICAL PAPERS AND POSTERS: September 1, 2010: Deadline for the submission of papers. September 27, 2010: Deadline for the notification of acceptance/rejection. October 12, 2010: Workshop camera ready copy submission. November 7 or 8, 2010: OM-2010, Shanghai International Convention Center, Shanghai, China ORGANIZING COMMITTEE 1. Pavel Shvaiko (Main contact) TasLab, Informatica Trentina SpA, Italy 2. J?r?me Euzenat INRIA & LIG, France 3. Fausto Giunchiglia University of Trento, Italy 4. Heiner Stuckenschmidt University of Mannheim, Germany 5. Ming Mao SAP Labs, USA 6. Isabel Cruz The University of Illinois at Chicago, USA PROGRAM COMMITTEE Paolo Besana, Universite de Rennes 1, France Olivier Bodenreider, National Library of Medicine, USA Marco Combetto, Informatica Trentina, Italy J?r?me David, INRIA & LIG, France AnHai Doan, Kosmix, USA Alfio Ferrara, Universita degli Studi di Milano, Italy Tom Heath, Talis, UK Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam, Netherlands Krzysztof Janowicz, Pennsylvania State University, USA Bin He, IBM, USA Yannis Kalfoglou, Ricoh Europe plc, UK Monika Lanzenberger, Vienna University of Technology, Austria Patrick Lambrix, Link?pings Universitet, Sweden Maurizio Lenzerini, University of Rome - Sapienza, Italy Juanzi Li, Tsinghua University, China Vincenzo Maltese, University of Trento, Italy Fiona McNeill, University of Edinburgh, UK Christian Meilicke, University of Mannheim, Germany Luca Mion, Informatica Trentina, Italy Peter Mork, The MITRE Corporation, USA Filippo Nardelli, Cogito, Italy Natasha Noy, Stanford University, USA Yefei Peng, Yahoo Labs, USA Erhard Rahm, University of Leipzig, Germany Fran?ois Scharffe, INRIA, France Luciano Serafini, Fondazione Bruno Kessler (IRST), Italy Kavitha Srinivas, IBM, USA Umberto Straccia, ISTI-C.N.R., Italy Andrei Tamilin, Fondazione Bruno Kessler (IRST), Italy Lorenzino Vaccari, EC DG Environment, Italy Ludger van Elst, DFKI, Germany Yannis Velegrakis, University of Trento, Italy Shenghui Wang, Vrije Universiteit Amsterdam, Italy Baoshi Yan, Bosch Research, USA Rui Zhang, Jilin University, China Songmao Zhang, Chinese Academy of Sciences, China ------------------------------------------------------- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ ------------------------------------------------------- Best Regards, Pavel ------------------------------------------------------- Pavel Shvaiko, PhD Innovation and Research Project Manager TasLab, Informatica Trentina SpA, Italy http://www.ontologymatching.org/ http://www.infotn.it/ http://www.dit.unitn.it/~pavel/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Wed Jun 16 14:36:35 2010 From: rsun at rpi.edu (Professor Ron Sun) Date: Wed, 16 Jun 2010 14:36:35 -0400 Subject: [ACT-R-users] Call for participation; speakers and papers: CogSci2010 Workshop - Cognitive Social Sciences Message-ID: <8D6C68F5-F4AD-46D3-A0D4-6F821C039F8D@rpi.edu> CogSci2010 Workshop: Cognitive Social Sciences: Grounding the Social Sciences in the Cognitive Sciences Portland, Oregon, USA. 11 August, 2010 http://www.cogsci.rpi.edu/~rsun/wsp2010 This workshop is aimed at exploring the cognitive (psychological) basis of the social sciences and the possibilities of grounding the social sciences in cognition (psychology). The cognitive sciences have made tremendous strides in recent decades. In particular, computational cognitive modeling (i.e., computational psychology; Sun, 2008; Thagard, 1996) has changed the ways in which cognition/psychology is explored and understood in many profound respects. There have been many models of cognition/ psychology proposed in the cognitive sciences (broadly defined), leading to detailed understanding of many cognitive/psychological domains and functionalities. Empirical psychological research has also progressed to provide us with much better understanding of many psychological phenomena. Given the advances in the cognitive sciences, can we leverage the successes for the sake of better understanding social processes and phenomena? More fundamentally, can the cognitive sciences (including experimental cognitive psychology, computational psychology, social- personality psychology, developmental psychology, cultural psychology, psycholinguistics, philosophy of mind, cognitive neuroscience, and so on) provide a better foundation for important disciplines of the social sciences (sociology, anthropology, economics, political science, as well as some "humanity" fields: religious studies, history, legal studies, literary studies, communication, and so on)? Thus far, although very much a neglected topic, there nevertheless have been various efforts at exploring this topic. Some of the efforts were computationally motivated (see, e.g., Sun, 2006: "Cognition and multi-agent interaction", published by Cambridge University Press). Some other efforts were more empirical or theoretical in nature (see, e.g, Turner, 2001: "Cognitive Dimensions of Social Science", published by Oxford University Press). There are both theoretical and practical rationales for developing "cognitive social sciences" (see Turner, 2001; Sun, 2006; DiMaggio, 1997; Camerer, 2003; Tetlock and Goldgeier, 2000). We contend that the social sciences may find their future in the cognitive sciences (at least in part), which may well lead to a powerful and productive combined intellectual enterprise. This combination or grounding may provide the social sciences with imaginative scientific research programs, hybridization/integration, new syntheses, novel paradigms/ frameworks, and so on, beside providing the cognitive sciences with new data sources and problems to address. PROGRAM The speakers and papers have been selected, including, among others, Paul Thagard, Mark Turner, Pascal Boyer, Selmer Bringsjord, Jun Zhang, Christian Lebiere, Cleotilde Gonzalez, Rosaria Conte, etc. The full schedule/papers/abstracts are available at http://www.cogsci.rpi.edu/~rsun/wsp2010 REGISTRATION The workshop is open to all registered attendees of the CogSci conference. Registration is now open and details are available at http://cognitivesciencesociety.org/conference2010/registration.html (A late fee of US$100 applies after 7 July, 2010.) Please indicate clearly on the registration form that you intend to attend this workshop. DATES 7 July, 2010: Last day before registration late fee applies 11 August, 2010: Workshop 12-14 August, 2020: CogSci 2010 conference From anna.cox at ucl.ac.uk Wed Jun 16 16:16:13 2010 From: anna.cox at ucl.ac.uk (Anna L Cox) Date: Wed, 16 Jun 2010 21:16:13 +0100 Subject: [ACT-R-users] CogSci2010: Workshop on Understanding, Predicting & Mitigating Error in Routine Procedural Tasks Message-ID: <005d01cb0d90$c58e7350$50ab59f0$@cox@ucl.ac.uk> Workshop on Understanding, Predicting and Mitigating Error in Routine Procedural Tasks Anna Cox, Duncan Brumby, Jonathan Back, Rick Cooper, Simon Li, Raj Ratwani, Greg Trafton, & Wayne Gray (full-day) When and Where? CogSci2010 in Portland, Oregon on 11th August 2010 at the Oregon Convention Center. Goals of the workshop By bringing together researchers who are currently engaged in this topic the workshop aims to consolidate the current knowledge base and identify the next set of grand challenges in the area. This will be achieved by reviewing and making progress on the following questions: . To what extent can existing theories of routine sequential behavior explain the range of empirical results? . How can the theoretical understanding of error be applied to the design of tasks and systems? . What are the directions for future research in this area? The workshop schedule can be found at: Error Workshop Schedule Registration There is no additional charge for attendance at the workshop but all participants are required to register for the main conference. Registration for CogSci 2010 is open now. Please follow the link: CogSci 2010 Registration Site Support for the workshop We have a small fund available to cover expenses incurred as a result of participating in the workshop. Anyone wishing to apply for financial support should send a statement of need outlining their case (1 page max) to anna.cox at ucl.ac.uk by 30 June 2010. ============================================ Anna L Cox, Senior Lecturer in Human-Computer Interaction www.uclic.ucl.ac.uk/people/a.cox/ UCL Interaction Centre [UCLIC], Malet Place Engineering Building, Gower Street, London, WC1E 6BT Telephone: +44 (0)20 7679 0687 (Internal: X30687) -------------- next part -------------- An HTML attachment was scrubbed... URL: From cacs at cacs2010.org Mon Jun 28 08:55:33 2010 From: cacs at cacs2010.org (Jane Lew) Date: Mon, 28 Jun 2010 20:55:33 +0800 Subject: [ACT-R-users] Congress on Computer Applications and Computational Science, Singapore [EI Compendex, ISTP, IEEE Xplore] Message-ID: <201006281255.o5SCteM5032558@mx1.andrew.cmu.edu> Dear Author, Please forward to those who may be interested. Thanks. 2010 International Congress on Computer Applications and Computational Science CACS 2010 4-6 December 2010, Singapore http://irast.org/conferences/CACS/2010 CACS 2010 aims to bring together researchers and scientists from academia, industry, and government laboratories to present new results and identify future research directions in computer applications and computational science. Topics of interest include, but are not limited to: Agent and Autonomous Systems Computational Biology and Bioinformatics Computer-Aided Design and Manufacturing Computer Architecture and VLSI Computer Control and Robotics Computer Graphics and Virtual Reality Computers in Education Computer Modeling and Simulations Computer Networks and Communications Computer Security and Privacy Computer Vision and Pattern Recognition Data Mining and Data Engineering Distributed and Services Computing Energy and Power Systems Intelligent Systems Internet and Web Systems Nano Technologies Real-Time and Embedded Systems Scientific Computing and Applications Signal, Image and Multimedia Processing Software Engineering Test Technologies CACS 2010 conference proceedings will be published by CPS which will include the conference proceedings in IEEE Xplore and submit the proceedings to Ei Compendex and ISTP for indexing. Singapore's cultural diversity reflects its colonial history and Chinese, Malay, Indian and Arab ethnicities. English is the dominant official language, which is convenient for foreign visitors. Places of interest, such as the Orchard Road district, Singapore Zoo, Night Safari, and Sentosa, attract millions of visitors a year. Singapore is a paradise for shopping, dining, entertainment, and nightlife, with two new integrated resorts. Conference Contact: CACS @ irast.org (remove spaces around @ in this email address) Extended Submission Deadline: 15 July 2010 Review Decision Notifications: 15 August 2010 Final Papers and Author Registration Deadline: 9 September 2010 To unsubscribe, reply with "unsubscribe act-r-users at andrew.cmu.edu" in your email subject or the first line of the email body. With kind regards, Jane Lew -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Sat Jun 26 22:17:06 2010 From: rsun at rpi.edu (Professor Ron Sun) Date: Sat, 26 Jun 2010 22:17:06 -0400 Subject: [ACT-R-users] A tutorial on the CLARION cognitive architecture at CogSci 2010 Message-ID: <0F9B412A-F049-4F13-B450-C3D221945F14@rpi.edu> A tutorial on the CLARION cognitive architecture will take place on August 11, 2010, at the Annual Conference of the Cognitive Science Society in Portland Oregon (http://cognitivesciencesociety.org/conference2010/registration.html ) For participants attending the CogSci2010 conference, the tutorial is free. But Please indicate clearly on the registration form that you intend to attend this tutorial. This tutorial introduces participants to CLARION, a dual-process/dual- representation cognitive architecture that focuses on the distinction between explicit and implicit cognitive processes, as well as their synergistic interactions. CLARION is also integrative, involving cognition (reasoning, memory, learning, skill acquisition, etc.), motivation, metacognition, and so on. This presentation will provide an introductory description, along with simulations, advanced topics, and formal results. Although some prior exposure to cognitive architectures and artificial neural networks can be helpful, prior understanding of these areas is not required, as the tutorial includes a detailed presentation of basic, as well as advanced, topics related to cognitive modeling using the CLARION cognitive architecture. This tutorial will enable participants to apply the basic concepts, theories, and computational models of CLARION to their own work. For registration, go to: http://cognitivesciencesociety.org/conference2010/registration.html For details of the CLARION cognitive architecture, go to: http://www.cogsci.rpi.edu/~rsun/clarion.html From GCIS2010CFP at whut.edu.cn Mon Jun 28 08:49:01 2010 From: GCIS2010CFP at whut.edu.cn (GCIS & WCSE 2010 CFP) Date: Mon, 28 Jun 2010 20:49:01 +0800 Subject: [ACT-R-users] Congress on Intelligent Systems & Software Engineering (EI Compendex/ISTP/IEEE Xplore) Message-ID: <87E66D90D8E84997BA73394574713F69@adadd4e53c89df> In response to many requests, the submission deadline has been extended to 15 July. 2010 Second Global Congress on Intelligent Systems (GCIS 2010) http://world-research-institutes.org/conferences/GCIS/2010 16-17 December 2010, Wuhan, China 2010 Second World Congress on Software Engineering (WCSE 2010) http://world-research-institutes.org/conferences/WCSE/2010 19-20 December 2010, Wuhan, China GCIS & WCSE 2010 intends to be a global forum for researchers and engineers to present and discuss recent innovations and new techniques in intelligent systems and software engineering. GCIS & WCSE 2010 conference proceedings will be published by the CPS which will include the conference proceedings in the IEEE Xplore and submit the conference proceedings to Ei Compendex and ISTP for indexing (GCIS & WCSE 2009 proceedings were already indexed in Ei Compendex). The registration fee of US D 400 or RM B 2700 includes publication of 1 paper, lunches, dinners, and banquet. Specific topics of interest include, but are not limited to: GCIS: artificial intelligence, machine learning, intelligent control and automation, computational intelligence, soft computing, nature-inspired computation, bio-inspired algorithms, neuro-fuzzy techniques, genetic and evolutionary algorithms, semantic web, etc.. WCSE: Software metrics; Software tools and development environments; Software policy and ethics; Programming languages; Internet and information systems development; Software requirements; Software architecture and design; Software components and reuse; Software testing and analysis; Human-Computer Interaction; Software processes and workflows; Software dependability, safety, privacy and reliability; Reverse engineering and maintenance; Program comprehension and visualization, etc.. Wuhan is known as the "Homeland of White Clouds and Yellow Crane" and is one of China?s largest cities. There are many scenic spots and historical sites within and around Wuhan, for example, the Yellow Crane Tower, the East Lake, many charming colonial style buildings along Yanjiang Street and around Hongshan Square. Important Dates: Paper Submission Deadline (Extended): 15 July 2010 Review Notification: 1 September 2010 Final Papers and Author Registration Deadline: 15 September 2010 In addition to research papers, the conference also encourages companies and institutions to showcase their modern products and equipment in the conference area. Please email your inquiries to GCIS2010 at whut.edu.cn (for GCIS 2010) or WCSE2010 at whut.edu.cn (for WCSE 2010). Please feel free to forward to others. To unsubscribe, please reply with ?unsubscribe act-r-users at andrew.cmu.edu ? as your email subject. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vinay.chilukuri at gmail.com Tue Jun 29 04:28:10 2010 From: vinay.chilukuri at gmail.com (Vinay Chilukuri) Date: Tue, 29 Jun 2010 13:58:10 +0530 Subject: [ACT-R-users] Novice help on ACT-R's functionality Message-ID: Hello all, I have recently discovered ACT-R. I have been reading about this wonderful tool and trying out some basic models on my own. I understand that ACT-R is a theory in cognition and also that it can be used to model behavioral experiments. My question is: 1) Given some knowledge in the declarative memory, can I retrieve the information when queried upon? If yes, how can I query it? Specifically, my experiment consisted of assessing recall of a movie-stimulus and the questions that were posed to the participants were Open-Ended. Eg: "Describe what happened in Jack's apartment?"; "Why did Jack had to stop on his way to the restaurant?" I intend to describe the events of the movie as chunks. Each event would be characterized by a set of attributes/slots. Though I think it is quite a challenge to query the model in the same way as was done with the experiment, I would like to know how an ACT-R model can be queried. 2) Also, is there a way of adding chunks to the model's declarative memory at a specific time duration? Please excuse the novice questions! Looking forward to learn more about this interesting architecture. Thank you for your time. -- Vinay Chilukuri Research Student, Cognitive Science Lab, International Institute of Information Technology, Hyderabad. From db30 at andrew.cmu.edu Tue Jun 29 09:59:27 2010 From: db30 at andrew.cmu.edu (db30 at andrew.cmu.edu) Date: Tue, 29 Jun 2010 09:59:27 -0400 Subject: [ACT-R-users] Novice help on ACT-R's functionality In-Reply-To: References: Message-ID: <31E1DAD5C7DB173E7DD485D8@act-r6.psy.cmu.edu> --On Tuesday, June 29, 2010 1:58 PM +0530 Vinay Chilukuri wrote: > Hello all, > I have recently discovered ACT-R. I have been reading about this > wonderful tool and trying out some basic models on my own. > I understand that ACT-R is a theory in cognition and also that it can > be used to model behavioral experiments. > The first suggestion I would have is that if you have not yet read the ACT-R tutorial and worked through the models that come with it to do so. The texts and models are included with the software in the tutorial directory of the distribution and the unit texts are also available as PDFs from the ACT-R web site at: In particular, unit 1 introduces the basics of using declarative memory and units 4 and 5 cover the details of the activation equation for chunks. > My question is: > 1) Given some knowledge in the declarative memory, can I retrieve the > information when queried upon? > If yes, how can I query it? > > Specifically, > my experiment consisted of assessing recall of a movie-stimulus and > the questions that were posed to the participants were Open-Ended. > Eg: "Describe what happened in Jack's apartment?"; "Why did Jack had > to stop on his way to the restaurant?" > I intend to describe the events of the movie as chunks. Each event > would be characterized by a set of attributes/slots. > > Though I think it is quite a challenge to query the model in the same > way as was done with the experiment, I would like to know how an ACT-R > model can be queried. > I'm not sure I understand exactly what you want to know. The basic answer of how to retrieve information from declarative memory would be to make a request through the retrieval buffer. That request would be done with a "+retrieval" action in a production and would look something like this with the appropriate details included: (p get-fact =goal> isa retrieve-fact ... ==> +retrieval> isa movie-fact ... ) If instead you're asking how you would form the request to get the specific information as indicated then that is going to depend a lot on how you have represented the information and which sorts of activation effects (partial matching and spreading activation in particular) you feel are appropriate for the task. So, I can't really offer any suggestions about that without knowing more details. Finally, if the question is how do you pose the question to the model to be answered, then again, that depends a lot on exactly how you want to represent the task. One way would be to just set a particular goal chunk which has the details of the question in it as the starting point for the model (the fan model from unit 5 of the tutorial would be an example of something like that). Alternatively, you could have the model read the question from the screen or hear it and then also model the internal deliberation of converting that to appropriate requests of declarative memory. > 2) Also, is there a way of adding chunks to the model's declarative > memory at a specific time duration? > Yes, there are essentially two ways to set the creation time for a chunk. The first would be to do just as you ask -- add it to the model's declarative memory at the time you want it created. Here are two ways to accomplish that. First you could advance the clock to the desired time and then add it explicitly in code which might look something like this in a function to create the chunks for a movie at times of 600 seconds and 1100 seconds (assuming this was called at time 0 seconds otherwise it would be 600 and 1100 seconds from the current time): (defun add-movie-chunks () ;;; advance the clock 600 seconds (run-full-time 600) ;;; add a chunk (add-dm (isa movie-fact ...)) ;;; do that again (run-full-time 500) (add-dm (isa movie-fact ...)) ;;; more as necessary ...) Alternatively, you can schedule an event to occur at a particular time to add the chunk and then it will be added when the model gets to that point in time while it is running. Here's a function which would schedule two events to add chunks at times 600 and 1100 explicitly: (defun add-movie-chunks-2 () (schedule-event 600 (lambda () (add-dm (isa movie-fact ...)))) (schedule-event 1100 (lambda () (add-dm (isa movie-fact ...))))) The other way to change the creation time of a chunk would be to use the sdp command to change the chunk's parameters and directly set the creation time. The creation time is set with the :creation-time parameter. Thus, this would change the creation time of the chunk named fact-1 to be at time 600 seconds: (sdp fact-1 :creation-time 600) Those ACT-R commands: run-full-time, add-dm, schedule-event, and sdp are described in the experiment discussion texts of the tutorial and in the reference manual which is in the docs directory of the software distribution. Hope that helps, and if you have other questions or problems feel free to ask, Dan From salvucci at cs.drexel.edu Tue Jun 29 10:33:23 2010 From: salvucci at cs.drexel.edu (Dario Salvucci) Date: Tue, 29 Jun 2010 10:33:23 -0400 Subject: [ACT-R-users] ICCM'10 early registration ends July 1 Message-ID: <08EAF8F0-DC75-49D3-93CB-9A7902099343@cs.drexel.edu> Fyi, early registration for ICCM 2010 ends in two days (July 1) -- to take advantage of the reduced fees, please register ASAP on the conference web site: http://iccm2010.cs.drexel.edu/ The Advance Program has also been posted on the web site. See you in Philadelphia! Dario Salvucci & Glenn Gunzelmann ICCM 2010 Co-Chairs iccm2010 at cs.drexel.edu _____________________________________ Dario Salvucci, Ph.D. Associate Professor Department of Computer Science Drexel University http://www.cs.drexel.edu/~salvucci/ From erev at techunix.technion.ac.il Tue Jun 29 12:16:45 2010 From: erev at techunix.technion.ac.il (Ido Erev) Date: Tue, 29 Jun 2010 19:16:45 +0300 Subject: [ACT-R-users] Choice prediction competitions Message-ID: <003d01cb17a6$78210130$68630390$@technion.ac.il> Dear Colleagues, We write to invite you to participate in the choice prediction competitions that will be conducted as part of the special issue of the journal Games (http://www.mdpi.com/journal/games/) on "Predicting Behavior in Games" (http://www.mdpi.com/si/games/predict-behavior/). You are invited to participate as a competitor, and as an organizer. Below you can find two calls that clarify this invitation. The first is the call to participate in the first competition that we organize. The second is a call to propose and organize your own competition. Call 1. The first "Games" competition: Predicting behavior in market entry games. The first competition focuses on the prediction of behavior in repeated 4-person market entry games. The organizers first ran (in March 2010 at Harvard) an experimental study of (40) games that were randomly selected from a well-defined space of market entry games. The raw experimental results of this study, referred to as the "estimation experiment," are presented in the competition's website (http://sites.google.com/site/gpredcomp/). In addition, the competition website includes the rules of the competition, and a link to a paper that summarizes the results of the estimation experiment and explores the value of several baseline models (http://www.mdpi.com/2073-4336/1/2/117/.) The site explains that the goal of the participants in the competition is to predict the results of a second experiment. This study, referred to as the "competition experiment," will be run by the organizers in May 2010 (but the results will be kept confidential until 2 September 2010). The competition experiment will use the same method as the estimation experiment, but will study different games (drawn from the same space of games) and different subjects. To participate in the competition you will have to email us a computer program (in MATLAB, Visual Basic, or SAS) that reads the parameters of the games (the incentive structure) as input, and predicts the main results as output. The program should be an implementation of your favorite model. To develop and/or estimate your model you are encouraged to analyze the data of the estimation experiment, and to build on the baseline models that were posted in the competition website. The submitted models will be ranked based on the mean squared deviation between the predictions and the results of the competition experiment. The prize for the winners will include an invitation to publish a paper that describes the winning model in Games, and an invitation to a special workshop. The submission deadline for this competition is 1 September 2010. You are allowed to submit one model as a first author and to co-author up to three additional submissions. Call 2. Invitation to propose and organize a competition. You are invited to propose a choice competition to the special issue of Games. The proposed competition should focus on interesting spaces of game, with the hope that they will improve our understanding of the predictive value of different descriptive models. The format of the competitions should be similar to the format of the competition described above. Specifically, they should be based on two large experimental studies: An estimation experiment, and a competition experiment. The organizers will first run the estimation experiment (on games that will be randomly selected from a well-defined space of games). Then, they will post the results on the web, and publish (in Games) a paper that introduces the competition. The paper should summarize the results of the estimation experiment, evaluate leading baseline models, and describe the rules of the competition. The main task in the competition will be to predict behavior in the competition experiment. Proposals for organization of competitions should describe the motivation and the proposed method (including the space of games you will study). They can use the format of the first five pages of the paper that describes the introduction to the choice prediction competition for market entry games that can be found at http://www.mdpi.com/2073-4336/1/2/117/. Please send e-mail proposals and related questions to Ido Erev (erev at tx.technion.ac.il). Best regards, Ido Erev, Eyal Ert and Al Roth -------------- next part -------------- An HTML attachment was scrubbed... URL: From vinay.chilukuri at gmail.com Wed Jun 30 03:38:54 2010 From: vinay.chilukuri at gmail.com (Vinay Chilukuri) Date: Wed, 30 Jun 2010 13:08:54 +0530 Subject: [ACT-R-users] Novice help on ACT-R's functionality In-Reply-To: <31E1DAD5C7DB173E7DD485D8@act-r6.psy.cmu.edu> References: <31E1DAD5C7DB173E7DD485D8@act-r6.psy.cmu.edu> Message-ID: Dear Dan, Thank you for your elaborate reply. I have gone through the tutorial sections of units 1 & 2. But before delving deeper into ACT-R, I was interested in knowing what kind of tasks could be modeled using ACT-R and what could not! As mentioned in the previous mail, my experiment consisted of a viewer watching a movie and then a set of questions would be presented to the viewer on a computer screen, one question at a time. The questions are descriptive. After the viewer finishes answering, we compute a 'recall score' based on a formula. In our case, I agree that the recall of information depends on how the information is represented in the model's memory. Working on this aspect. But, I was just wondering if an ACT-R model is capable of handling this kind of a recall task via these type of questions? My question about retrieving information is: How do you pose the question to the model? I would like to know if there is an equivalent way of asking the model a question like: "Why did jack stop on his way to the restaurant?" So, how do I form the query to the model so that I would address such type of questions. Also, intriguing among the things you've mentioned is that, the model could be made to read the question of the screen and then converting it to appropriate requests to the declarative memory. Is there any tutorial section regarding this? The information that you have given me on how to set the creation time of the chunk was very comprehensive. That is what I needed. I shall complete the tutorials in the rest of the units and ask further queries. Thank you very much for your time. On Tue, Jun 29, 2010 at 7:29 PM, wrote: > > > --On Tuesday, June 29, 2010 1:58 PM +0530 Vinay Chilukuri > wrote: > >> Hello all, >> I have recently discovered ACT-R. I have been reading about this >> wonderful tool and trying out some basic models on my own. >> I understand that ACT-R is a theory in cognition and also that it can >> be used to model behavioral experiments. >> > > > The first suggestion I would have is that if you have not yet read > the ACT-R tutorial and worked through the models that come with it > to do so. ?The texts and models are included with the software in > the tutorial directory of the distribution and the unit texts are > also available as PDFs from the ACT-R web site at: > > > > In particular, unit 1 introduces the basics of using declarative > memory and units 4 and 5 cover the details of the activation equation > for chunks. > > >> My question is: >> 1) Given some knowledge in the declarative memory, can I retrieve the >> information when queried upon? >> If yes, how can I query it? >> >> Specifically, >> my experiment consisted of assessing recall of a movie-stimulus and >> the questions that were posed to the participants were Open-Ended. >> Eg: "Describe what happened in Jack's apartment?"; "Why did Jack had >> to stop on his way to the restaurant?" >> I intend to describe the events of the movie as chunks. Each event >> would be characterized by a set of attributes/slots. >> >> Though I think it is quite a challenge to query the model in the same >> way as was done with the experiment, I would like to know how an ACT-R >> model can be queried. >> > > I'm not sure I understand exactly what you want to know. ?The basic > answer of how to retrieve information from declarative memory would > be to make a request through the retrieval buffer. ?That request > would be done with a "+retrieval" action in a production and would look > something like this with the appropriate details included: > > (p get-fact > ?=goal> > ? isa retrieve-fact > ? ... > ==> > ?+retrieval> > ? isa movie-fact > ? ... > ) > > > If instead you're asking how you would form the request to get the > specific information as indicated then that is going to depend a lot > on how you have represented the information and which sorts of > activation effects (partial matching and spreading activation in > particular) you feel are appropriate for the task. ?So, I can't really > offer any suggestions about that without knowing more details. > > Finally, if the question is how do you pose the question to the model > to be answered, then again, that depends a lot on exactly how you want > to represent the task. ?One way would be to just set a particular goal > chunk which has the details of the question in it as the starting point > for the model (the fan model from unit 5 of the tutorial would be an > example of something like that). ?Alternatively, you could have the > model read the question from the screen or hear it and then also model > the internal deliberation of converting that to appropriate requests > of declarative memory. > >> 2) Also, is there a way of adding chunks to the model's declarative >> memory at a specific time duration? >> > > Yes, there are essentially two ways to set the creation time for a > chunk. > > The first would be to do just as you ask -- add it to the model's > declarative memory at the time you want it created. ?Here are two > ways to accomplish that. ?First you could advance the clock to the > desired time and then add it explicitly in code which might look > something like this in a function to create the chunks for a movie > at times of 600 seconds and 1100 seconds (assuming this was called at > time 0 seconds otherwise it would be 600 and 1100 seconds from the > current time): > > (defun add-movie-chunks () > ?;;; advance the clock 600 seconds > ?(run-full-time 600) > ?;;; add a chunk > ?(add-dm (isa movie-fact ...)) > ?;;; do that again > ?(run-full-time 500) > ?(add-dm (isa movie-fact ...)) > ?;;; more as necessary > ?...) > > Alternatively, you can schedule an event to occur at a particular time > to add the chunk and then it will be added when the model gets to that > point in time while it is running. ?Here's a function which would > schedule two events to add chunks at times 600 and 1100 explicitly: > > (defun add-movie-chunks-2 () > ?(schedule-event 600 (lambda () (add-dm (isa movie-fact ...)))) > ?(schedule-event 1100 (lambda () (add-dm (isa movie-fact ...))))) > > The other way to change the creation time of a chunk would be to > use the sdp command to change the chunk's parameters and directly set > the creation time. ?The creation time is set with the :creation-time > parameter. ?Thus, this would change the creation time of the chunk > named fact-1 to be at time 600 seconds: > > (sdp fact-1 :creation-time 600) > > > Those ACT-R commands: run-full-time, add-dm, schedule-event, and sdp > are described in the experiment discussion texts of the tutorial and > in the reference manual which is in the docs directory of the > software distribution. > > Hope that helps, and if you have other questions or problems feel > free to ask, > > Dan > > > -- Vinay Chilukuri Research Student, Cognitive Science Lab, International Institute of Information Technology, Hyderabad.