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