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Rosenbloom, Paul S.
Leveraging Computing Sciences in STEM Education Journal Article
In: ACM Ubiquity, 2012.
@article{rosenbloom_leveraging_2012,
title = {Leveraging Computing Sciences in STEM Education},
author = {Paul S. Rosenbloom},
url = {http://ict.usc.edu/pubs/Leveraging%20Computing%20Sciences%20in%20STEM%20Education.pdf},
year = {2012},
date = {2012-12-01},
journal = {ACM Ubiquity},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Demski, Abram
Logical Prior Probability Proceedings Article
In: Conference on Artificial General Intelligence, Oxford, UK, 2012.
@inproceedings{demski_logical_2012,
title = {Logical Prior Probability},
author = {Abram Demski},
url = {http://ict.usc.edu/pubs/Logical%20Prior%20Probability.pdf},
year = {2012},
date = {2012-12-01},
booktitle = {Conference on Artificial General Intelligence},
address = {Oxford, UK},
abstract = {A Bayesian prior over first-order theories is defined. It is shown that the prior can be approximated, and the relationship to previously studied priors is examined.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
On Computing: The Fourth Great Scientific Domain Book
MIT Press, 2012, ISBN: 0-262-01832-2.
@book{rosenbloom_computing_2012,
title = {On Computing: The Fourth Great Scientific Domain},
author = {Paul Rosenbloom},
url = {http://www.amazon.com/On-Computing-Fourth-Scientific-Domain/dp/0262018322},
isbn = {0-262-01832-2},
year = {2012},
date = {2012-11-01},
publisher = {MIT Press},
abstract = {Computing isn't simply about hardware or software, or calculation or applications. Computing, writes Paul Rosenbloom, is an exciting and diverse, yet remarkably coherent, scientific enterprise that is highly multidisciplinary yet maintains a unique core of its own. In On Computing, Rosenbloom proposes that computing is a great scientific domain on a par with the physical, life, and social sciences. Rosenbloom introduces a relational approach for understanding computing, conceptualizing it in terms of forms of interaction and implementation, to reveal the hidden structures and connections among its disciplines. He argues for the continuing vitality of computing, surveying the leading edge in computing's combination with other domains, from biocomputing and brain-computer interfaces to crowdsourcing and virtual humans to robots and the intermingling of the real and the virtual. He explores forms of higher order coherence, or macrostructures, over complex computing topics and organizations, such as computing's role in the pursuit of science and the structure of academic computing. Finally, he examines the very notion of a great scientific domain in philosophical terms, honing his argument that computing should be considered the fourth great scientific domain. Rosenbloom's proposal may prove to be controversial, but the intent is to initiate a long overdue conversation about the nature and future of a field in search of its soul. Rosenbloom, a key architect of the founding of University of Southern California's Institute for Creative Technologies and former Deputy Director of USC's Information Sciences Institute, offers a broader perspective on what computing is and what it can becom},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Rosenbloom, Paul
Towards a Conceptual Framework for Digital Humanities Journal Article
In: Digital Humanities Quarterly, vol. 2, no. 6, 2012.
@article{rosenbloom_towards_2012,
title = {Towards a Conceptual Framework for Digital Humanities},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Towards%20a%20Conceptual%20Framework%20for%20Digital%20Humanities.pdf},
year = {2012},
date = {2012-10-01},
journal = {Digital Humanities Quarterly},
volume = {2},
number = {6},
abstract = {The concept of a great scientific domain broadens what is normally considered to be within the purview of science while identifying four such domains – the physical, life, social and computing sciences – and suggesting that the humanities naturally fit within the sciences as part of an expanded social domain. The relational architecture that has been developed to aid in understanding disciplinary combinations across great scientific domains then guides an exploration of the structure and content of the digital humanities in terms of a space of relationships between computing and the humanities.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rosenbloom, Paul S.
Extending Mental Imagery in Sigma Proceedings Article
In: Conference on Artificial General Intelligence, Oxford, UK, 2012.
@inproceedings{rosenbloom_extending_2012,
title = {Extending Mental Imagery in Sigma},
author = {Paul S. Rosenbloom},
url = {http://ict.usc.edu/pubs/Extending%20Mental%20Imagery%20in%20Sigma.pdf},
year = {2012},
date = {2012-10-01},
booktitle = {Conference on Artificial General Intelligence},
address = {Oxford, UK},
abstract = {This article presents new results on implementing mental imagery within the Sigma cognitive architecture. Rather than amounting to a distinct module, mental imagery is based on the same primitive, hybrid mixed, architectural mechanisms as Sigma's other cognitive capabilities. The work here demonstrates the creation and modification of compound images, the transformation of individual objects within such images, and the extraction of derived information from these compositions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul S.
Deconstructing Reinforcement Learning in Sigma Proceedings Article
In: Conference on Artificial General Intelligence, Oxford, UK, 2012.
@inproceedings{rosenbloom_deconstructing_2012,
title = {Deconstructing Reinforcement Learning in Sigma},
author = {Paul S. Rosenbloom},
url = {http://ict.usc.edu/pubs/Deconstructing%20Reinforcement%20Learning%20in%20Sigma.pdf},
year = {2012},
date = {2012-10-01},
booktitle = {Conference on Artificial General Intelligence},
address = {Oxford, UK},
abstract = {This article describes the development of reinforcement learning within the Sigma graphical cognitive architecture. Reinforcement learning has been deconstructed in terms of the interactions among more basic mechanisms and knowledge in Sigma, making it a derived capability rather than a de novo mechanism. Basic reinforcement learning – both model-based and model-free – are demonstrated, along with the intertwining of model learning.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
Towards a 50 msec Cognitive Cycle in a Graphical Architecture Proceedings Article
In: Proceedings of the 11th International Conference on Cognitive Modeling, Berlin, Germany, 2012.
@inproceedings{rosenbloom_towards_2012-1,
title = {Towards a 50 msec Cognitive Cycle in a Graphical Architecture},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Towards%20a%2050%20msec%20Cognitive%20Cycle%20in%20a%20Graphical%20Architecture.pdf},
year = {2012},
date = {2012-04-01},
booktitle = {Proceedings of the 11th International Conference on Cognitive Modeling},
address = {Berlin, Germany},
abstract = {Achieving a 50 msec cognitive cycle in any sufficiently sophisticated cognitive architecture can be a significant challenge. Here an investigation is begun into how to do this within a recently developed graphical architecture that is based on factor graphs (with the summary product algorithm) and piecewise continuous functions. Results are presented from three optimizations that leverage the structure of factor graphs to reduce the number of message cycles required per cognitive cycle.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
Towards functionally elegant, grand unified architectures, part of Accelerating the Evolution of Cognitive Architecture Proceedings Article
In: Behavior Representation in Modeling & Simulation (BRIMS) Conference, 2012.
@inproceedings{rosenbloom_towards_2012-2,
title = {Towards functionally elegant, grand unified architectures, part of Accelerating the Evolution of Cognitive Architecture},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Towards%20functionally%20elegant%20grand%20unified%20architectures.pdf},
year = {2012},
date = {2012-03-01},
booktitle = {Behavior Representation in Modeling & Simulation (BRIMS) Conference},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
Graphical Models for Integrated Intelligent Robot Architectures Proceedings Article
In: Proceedings of the AAAI Spring Symposium on Designing Intelligent Robots: Reintegrating AI, Stanford University, 2012.
@inproceedings{rosenbloom_graphical_2012,
title = {Graphical Models for Integrated Intelligent Robot Architectures},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Graphical%20Models%20for%20Integrated%20Intelligent%20Robot%20Architectures.pdf},
year = {2012},
date = {2012-03-01},
booktitle = {Proceedings of the AAAI Spring Symposium on Designing Intelligent Robots: Reintegrating AI},
address = {Stanford University},
abstract = {The theoretically elegant yet broadly functional capability of graphical models shows intriguing potential to span in a uniform manner perception, cognition and action; and thus to ultimately yield simpler yet more powerful integrated architectures for intelligent robots and other comparable systems. This position paper explores this potential, with initial support from an effort underway to develop a graphical architecture that is based on factor graphs (with piecewise continuous functions).},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
Bridging dichotomies in cognitive architectures for virtual humans Proceedings Article
In: Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems, Arlington, VA, 2011.
@inproceedings{rosenbloom_bridging_2011,
title = {Bridging dichotomies in cognitive architectures for virtual humans},
author = {Paul Rosenbloom},
url = {http://www.ict.usc.edu/pubs/Bridging%20Dichotomies%20in%20Cognitive%20Architectures%20for%20Virtual%20Humans.pdf},
year = {2011},
date = {2011-11-01},
booktitle = {Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems},
address = {Arlington, VA},
abstract = {Desiderata for cognitive architectures that are to support the extent of human-level intelligence required in virtual humans imply the need to bridge a range of dichotomies faced by such architectures. The focus here is first on two general approaches to building such bridges – addition and reduction – and then on a pair of general tools – graphical models and piecewise continuous functions – that exploit the second approach towards developing such an architecture. Evaluation is in terms of the architecture's demonstrated ability and future potential for bridging the dichotomies.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Chen, Junda; Demski, Abram; Han, Teawon; Morency, Louis-Philippe; Pynadath, David V.; Rafidi, Nicole; Rosenbloom, Paul
Fusing symbolic and decision-theoretic problem solving + perception in a graphical cognitive architecture Proceedings Article
In: Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architecture (BICA), Arlington, VA, 2011.
@inproceedings{chen_fusing_2011,
title = {Fusing symbolic and decision-theoretic problem solving + perception in a graphical cognitive architecture},
author = {Junda Chen and Abram Demski and Teawon Han and Louis-Philippe Morency and David V. Pynadath and Nicole Rafidi and Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Fusing%20symbolic%20and%20decision-theoretic%20problem%20solving%20+%20perception%20in%20a%20graphical%20cognitive%20architecture.pdf},
year = {2011},
date = {2011-11-01},
booktitle = {Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architecture (BICA)},
address = {Arlington, VA},
abstract = {A step is taken towards fusing symbolic and decision-theoretic problem solving in a cognitive architecture by implementing the latter in an architecture within which the former has already been demonstrated. The graphical models upon which the architecture is based enable a uniform implementation of both varieties of problem solving. They also enable a uniform combination with forms of decision-relevant perception, highlighting a potential path towards a tight coupling between central cognition and peripheral perception.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
Mental imagery in a graphical cognitive architecture Proceedings Article
In: Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architecture (BICA), Arlington, VA, 2011.
@inproceedings{rosenbloom_mental_2011,
title = {Mental imagery in a graphical cognitive architecture},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Mental%20imagery%20in%20a%20graphical%20cognitive%20architecture.pdf},
year = {2011},
date = {2011-11-01},
booktitle = {Proceedings of the 2nd International Conference on Biologically Inspired Cognitive Architecture (BICA)},
address = {Arlington, VA},
abstract = {Can mental imagery be incorporated uniformly into a cognitive architecture by leveraging the mixed (relational and probabilistic) hybrid (discrete and continuous) processing supported by factor graphs? This article takes an initial step towards answering this question via an implementation in a graphical cognitive architecture of a version of the Eight Puzzle based on a hybrid function representation and a factor node optimized for object translation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
From memory to problem solving: Mechanism reuse in a graphical cognitive architecture Proceedings Article
In: Proceedings of the 4th Conference on Artificial General Intelligence, Mountain View, CA, 2011.
@inproceedings{rosenbloom_memory_2011,
title = {From memory to problem solving: Mechanism reuse in a graphical cognitive architecture},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/From%20memory%20to%20problem%20solving-%20Mechanism%20reuse%20in%20a%20graphical%20cognitive%20architecture.pdf},
year = {2011},
date = {2011-08-01},
booktitle = {Proceedings of the 4th Conference on Artificial General Intelligence},
address = {Mountain View, CA},
abstract = {This article describes the extension of a memory architecture that is implemented via graphical models to include core aspects of problem solving. By extensive reuse of the general graphical mechanisms originally developed to support memory, this demonstrates how a theoretically elegant implementation level can enable increasingly broad architectures without compromising overall simplicity and uniformity. In the process, it bolsters the potential of such an approach for developing the more complete architectures that will ultimately be necessary to support autonomous general intelligence.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
Rethinking Cognitive Architecture via Graphical Models Journal Article
In: Cognitive Systems Research, 2011.
@article{rosenbloom_rethinking_2011,
title = {Rethinking Cognitive Architecture via Graphical Models},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Rethinking%20Cognitive%20Architecture%20via%20Graphical%20Models.pdf},
year = {2011},
date = {2011-03-01},
journal = {Cognitive Systems Research},
abstract = {Cognitive architectures need to resolve the diversity dilemma – i.e., to blend diversity and simplicity – in order to couple functionality and efficiency with integrability, extensibility and maintainability. Building diverse architectures upon a uniform implementation level of graphical models is an intriguing approach because of the homogeneous manner in which such models produce state-of-the-art algorithms spanning symbol, probability and signal processing. To explore this approach a hybrid (discrete and continuous) mixed (Boolean and Bayesian) version of the Soar architecture is being implemented via graphical models. Initial steps reported here begin to show the potential of such an approach for cognitive architecture.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rosenbloom, Paul
Computing and computation Journal Article
In: The Computer Journal, vol. 55, no. 7, pp. 820–824, 2010.
@article{rosenbloom_computing_2010,
title = {Computing and computation},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Computing%20and%20computation.pdf},
doi = {10.1093/comjnl/bxs070},
year = {2010},
date = {2010-12-01},
journal = {The Computer Journal},
volume = {55},
number = {7},
pages = {820–824},
abstract = {In this essay we claim that computing is the fourth great scientific domain, on par with the physical, life, and social sciences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rosenbloom, Paul
Implementing First-Order Variables in a Graphical Cognitive Architecture Proceedings Article
In: Proceedings of the First International Conference on Biologically Inspired Cognitive Architectures, IOS Press, Washington, DC, 2010.
@inproceedings{rosenbloom_implementing_2010,
title = {Implementing First-Order Variables in a Graphical Cognitive Architecture},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Implementing%20First-Order%20Variables%20in%20a%20Graphical%20Cognitive%20Architecture.pdf},
year = {2010},
date = {2010-11-01},
booktitle = {Proceedings of the First International Conference on Biologically Inspired Cognitive Architectures},
publisher = {IOS Press},
address = {Washington, DC},
abstract = {Graphical cognitive architectures implement their functionality through localized message passing among computationally limited nodes. First-order variables – particularly universally quantified ones – while critical for some potential architectural mechanisms, can be quite difficult to implement in such architectures. A new implementation strategy based on message decomposition in graphical models is presented that yields tractability while preserving key symmetries in the graphs concerning how quantified variables are represented and how symbols, probabilities and signals are processed.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul
Combining Procedural and Declarative Knowledge in a Graphical Architecture Proceedings Article
In: Proceedings of the 10th International Conference on Cognitive Modeling, Philadelphia, PA, 2010.
@inproceedings{rosenbloom_combining_2010,
title = {Combining Procedural and Declarative Knowledge in a Graphical Architecture},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Combining%20Procedural%20and%20Declarative%20Knowledge%20in%20a%20Graphical%20Architecture.pdf},
year = {2010},
date = {2010-08-01},
booktitle = {Proceedings of the 10th International Conference on Cognitive Modeling},
address = {Philadelphia, PA},
abstract = {A prototypical cognitive architecture defines a memory architecture embodying forms of both procedural and declarative memory, plus their interaction. Reengineering such a dual architecture on a common foundation of graphical models enables a better understanding of both the substantial commonalities between procedural and declarative memory and the subtle differences that endow each with its own special character. It also opens the way towards blended capabilities that go beyond existing architectural memories.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul S.
Speculations on Leveraging Graphical Models for Architectural Integration of Visual Representation and Reasoning Proceedings Article
In: Proceedings of the AAAI-10 Workshop on Visual Representations and Reasoning, Atlanta, GA, 2010.
@inproceedings{rosenbloom_speculations_2010,
title = {Speculations on Leveraging Graphical Models for Architectural Integration of Visual Representation and Reasoning},
author = {Paul S. Rosenbloom},
url = {http://ict.usc.edu/pubs/Speculations%20on%20Leveraging%20Graphical%20Models%20for%20Architectural%20Integration%20of%20Visual%20Representation%20and%20Reasoning.pdf},
year = {2010},
date = {2010-07-01},
booktitle = {Proceedings of the AAAI-10 Workshop on Visual Representations and Reasoning},
address = {Atlanta, GA},
abstract = {Speculations on Leveraging Graphical Models for Architectural Integration of Visual Representation and Reasoning},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul S.
An Architectural Approach to Statistical Relational AI Proceedings Article
In: Proceedings of the AAAI-10 Workshop on Statistical Relational AI, Atlanta, GA, 2010.
@inproceedings{rosenbloom_architectural_2010,
title = {An Architectural Approach to Statistical Relational AI},
author = {Paul S. Rosenbloom},
url = {http://ict.usc.edu/pubs/An%20Architectural%20Approach%20to%20Statistical%20Relational%20AI.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the AAAI-10 Workshop on Statistical Relational AI},
address = {Atlanta, GA},
abstract = {The architectural approach to AI focuses on the fixed structure underlying intelligence. Applying it to statistical relational AI could stimulate investigations of statistical relational approaches across AI, encourage understanding of commonalities and compatibilities across this range, and yield new architectures significantly beyond today's best.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rosenbloom, Paul S.
Towards Uniform Implementation of Architectural Diversity Proceedings Article
In: Proceedings of the AAAI Fall Symposium on Multi-Representational Architectures for Human-Level Intelligence, 2009.
@inproceedings{rosenbloom_towards_2009-1,
title = {Towards Uniform Implementation of Architectural Diversity},
author = {Paul S. Rosenbloom},
url = {http://ict.usc.edu/pubs/Towards%20Uniform%20Implementation%20of%20Architectural%20Diversity.pdf},
year = {2009},
date = {2009-11-01},
booktitle = {Proceedings of the AAAI Fall Symposium on Multi-Representational Architectures for Human-Level Intelligence},
abstract = {Multi-representational architectures exploit diversity to yield the breadth of capabilities required for intelligent behavior in the world, but in so doing can sacrifice too much of the complementary benefits of architectural uniformity. The proposal here is to couple the benefits of diversity and uniformity through establishment of a uniform graph-based implementation level for diverse architectures.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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