Filters








2,861 Hits in 5.1 sec

Using Grammar Induction to Model Adaptive Behavior of Networks of Collaborative Agents [chapter]

Wico Mulder, Pieter Adriaans
2010 Lecture Notes in Computer Science  
We introduce a formal paradigm to study global adaptive behavior of organizations of collaborative agents with local learning capabilities.  ...  We discuss some results of these simulations. We believe that this approach provides a viable framework to study processes of self-organization and optimization of collaborative agent networks.  ...  We showed that locally learning agents, when using their grammar models in their decision to forward jobs, contribute to the improvement of the global network performance on processing jobs.  ... 
doi:10.1007/978-3-642-15488-1_14 fatcat:tozu6cuk3zh7xpdfvfwuikz7vm

Semiotic Dynamics for Embodied Agents

L. Steels
2006 IEEE Intelligent Systems  
Each time new vistas on intelligence open up, we build new technologies to explore them and find new types of applications.  ...  A rtificial intelligence explores the many different aspects of intelligence like a meandering stream carving out rivers, lakes, and deltas in an endless magnificent landscape.  ...  The Commission is not responsible for any use that may be made of data appearing in this article.  ... 
doi:10.1109/mis.2006.58 fatcat:ykvagjz3trfnjeq63tgqawysvi

Modeling and Description of Organization-Oriented Architecture

Munan Li, Junfeng Zhou, Xin Liang
2014 Journal of Software  
of architecture model reuse.  ...  Organization-oriented architecture model is proposed to attempt to improve the abstraction and design capability of software architecture in the pervasive computing environment, and then enhance the efficiency  ...  grammar above, there is just a little number of expansions in order to keep the original grammar structure of WRIGHT: adding Organization and Supporter in the Architecture modeling elements, and the syntax  ... 
doi:10.4304/jsw.9.4.867-872 fatcat:32y7pdnsxjdsxc7g2uijk4ctce

What Can Mathematical, Computational, and Robotic Models Tell Us about the Origins of Syntax? [chapter]

2009 Biological Foundations and Origin of Syntax  
be made is between agent-based models, which try to pin down the 31 cognitive and social processes that could give rise to forms of language, and macroscopic 32 models, that aggregate the behavior of a  ...  What can mathematical, computational and robotic models tell us about the origins of syntax?  ...  These models do not include explicit grammar 21 formalisms but the behavior of the networks can in some cases be described in terms of such 22 formalisms. 23 Formalisms designed for grammar evolution  ... 
doi:10.7551/mitpress/8468.003.0026 fatcat:ctkeihiosnh2fiexb3ow6re7dq

3D Design and Modeling of Smart Cities from a Computer Graphics Perspective

Daniel G. Aliaga
2012 ISRN Computer Graphics  
Research in urban modeling, even from a computer graphics perspective, must tie the two areas of geometric and behavioral modeling together in order to ensure that useful 3D modeling techniques are developed  ...  In particular, we divide research in modeling cities and urban spaces into the areas of geometrical modeling and of behavioral modeling.  ...  The framework includes an interactive agent-based behavioral modeling system as well as adaptive geometry generation algorithms.  ... 
doi:10.5402/2012/728913 fatcat:6sevbn6rcreyrnib7a7pmif72i

Computer Simulation: A New Scientific Approach to the Study of Language Evolution [chapter]

Angelo Cangelosi, Domenico Parisi
2002 Simulating the Evolution of Language  
In a succession of generations the descendants of those non-linguistic ancestors came to possess the ability to speak and to understand the speech of others. What made the transition possible?  ...  These disciplines can indirectly contribute to the study of language origins and evolution. The study of language origins and evolution clearly is an interdisciplinary field  ...  The agent representation methods serve to control the behavior of the agents. These include symbolic rules and neural networks.  ... 
doi:10.1007/978-1-4471-0663-0_1 fatcat:zbtoqlsghjhlfjlffkxfyoqp7e

Theory building via agent-based modeling in public administration research: vindications and limitations

Taehyon Choi, Shinae Park
2021 International Journal of Public Sector Management  
PurposeThe purpose of this article is to provide an overview of agent-based modeling as an alternative method for public administration research.  ...  relative to agent-based modeling.FindingsAfter reviewing the current research themes in public administration and the methodological nature of agent-based modeling, we found that agent-based modeling  ...  The influence has permeated into a growing number of fields such as organizational learning, adaptation, and innovation, complex networking behaviors, collaboration and institutional design.  ... 
doi:10.1108/ijpsm-10-2020-0287 fatcat:g3csoso6yrchroap2m4kotvoqu

CALL theory [chapter]

Mathias Schulze, Kyle Scholz
2016 Language-Learner Computer Interactions  
These processes are not independent of one another but are facets of the same complex adaptive system (CAS).  ...  Recent research in the cognitive sciences has demonstrated that patterns of use strongly affect how language is acquired, is used, and changes.  ...  We have already argued for the need for an agent-based model that allows for variation in exposure history (perhaps by occupying different positions in a social network structure) and the behavior that  ... 
doi:10.1075/lsse.2.04sch fatcat:nza4l4l2dzewbleg3jhbgy3v4m

Language Is a Complex Adaptive System: Position Paper

Clay Beckner, Richard Blythe, Joan Bybee, Morten H. Christiansen, William Croft, Nick C. Ellis, John Holland, Jinyun Ke, Diane Larsen-Freeman, Tom Schoenemann
2009 Language Learning  
We have already argued for the need for an agent-based model that allows for variation in exposure history (perhaps by occupying different positions in a social network structure) and the behavior that  ...  Rather than being an abstract set of rules or structures that are only indirectly related to experience with language, we see grammar as a network built up from the categorized instances of language use  ... 
doi:10.1111/j.1467-9922.2009.00533.x fatcat:yidre2eko5fypekqr2w6dqmogu

EpiTalk a platform for epiphyte advisor systems dedicated to both individual and collaborative learning [chapter]

Sylvain Giroux, Gilbert Paquette, François Pachet, Jean Girard
1996 Lecture Notes in Computer Science  
EpiTalk is a platform enabling to develop advisors for individual and collaborative learning. EpiTalk advisors rely on agents, organizations and hierarchical graphs.  ...  At run-time, agents provide autonomy to each advisor's components, while organizations link and co-ordinate agents.  ...  Each node provides information used to generate and link EAIS agents, to graft the EAIS on the host, and to adapt the EAIS to the host evolution.  ... 
doi:10.1007/3-540-61327-7_134 fatcat:wg3i5usyjzdsdnnfe5drnd4d5m

Self-organization in sensor networks

Travis C Collier, Charles Taylor
2004 Journal of Parallel and Distributed Computing  
Finally, we explore some of the ways this definition applies to wireless sensor networks.  ...  We define a selforganizing system as one where a collection of units coordinate with each other to form a system that adapts to achieve a goal more efficiently.  ...  Acknowledgments We would like to thank Lieven Vandenberghe, A. Graham Cairns-Smith, Mike Hamilton of the James Reserve, and the Adaptive Language group at UCLA led by Ed Stabler.  ... 
doi:10.1016/j.jpdc.2003.12.004 fatcat:bsq2bkggnrekdmcor4cfffvuqu

Behavioral personal digital assistants: The seventh generation of computing

Kenneth R. Stephens, William R. Hutchison
1992 The Analysis of Verbal Behavior  
The alternative is a system that models the behavioral repertoire as a network of associations between antecedent stimuli and operants, and adapts when supplied with reinforcement.  ...  The authors describe how an existing adaptive network software system, based on behavior analysis and developed since 1983, can be extended to provide a new generation of software systems capable of acquiring  ...  The term "sixth generation" has been used to refer to neural networks.  ... 
doi:10.1007/bf03392881 pmid:22477053 pmcid:PMC2748594 fatcat:jfgiofds5zb3ldlbgh7kvdsfpa

Comulang: towards a collaborative e-learning system that supports student group modeling

Christos Troussas, Maria Virvou, Efthimios Alepis
2013 SpringerPlus  
Collaboration is supported by a user modeling module that is responsible for the initial creation of student clusters, where, as a next step, working groups of students are created.  ...  One of the resulting system's basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.  ...  In (Beck & Park 2000) , the authors constructed a learning agent that models student behavior at a high level of granularity for mathematics tutor, by using traces from previous users of the tutor to  ... 
doi:10.1186/2193-1801-2-387 pmid:24010044 pmcid:PMC3755789 fatcat:pnymobm5z5gqpaeithr6au26mm

Improvising in Creative Symbolic Interaction [chapter]

Gérard Assayag
2016 Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore  
Creative Symbolic Interaction brings together the advantages from the worlds of interactive real-time computing and intelligent, content-level analysis and processing, in order to enhance and humanize  ...  Performers improvising along with Symbolic Interaction systems experiment a unique artistic situation where they interact with musical (and possibly multi-modal) agents which develop in their own ways  ...  Acknowledgments Thanks to the others OMax Brothers: M. Chemillier, S. Dubnov, G. Bloch, B. Lévy, L. Bonnasse-Gahot, J. Nika.  ... 
doi:10.1142/9789813140103_0004 fatcat:zz2avfpjxbapfakzpkesy54pga

Creative Symbolic Interaction

Gérard Assayag
2014 Proceedings of the SMC Conferences  
(Abstract to follow)  ...  Acknowledgments Thanks to the other OMax Brothers: M. Chemillier, S. Dubnov, G. Bloch, B. Lévy, L. Bonnasse-Gahot, J. Nika.  ...  Hidden Markov Models, Temporal Grammar Rules Induction, Deep Be-lief Networks, Concurrent Constraint Calculus, Spatial and Epistemic CCP, Multi-objective Time Series model-ing among others can be explored  ... 
doi:10.5281/zenodo.850441 fatcat:arpsr4vnd5ddhmha4vcyw4e2v4
« Previous Showing results 1 — 15 out of 2,861 results