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21.
Rosenbloom, Paul
From memory to problem solving: Mechanism reuse in a graphical cognitive architecture Inproceedings
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}
}
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.
22.
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}
}
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.
23.
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}
}
In this essay we claim that computing is the fourth great scientific domain, on par with the physical, life, and social sciences.
24.
Rosenbloom, Paul
Implementing First-Order Variables in a Graphical Cognitive Architecture Inproceedings
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}
}
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.
25.
Rosenbloom, Paul
Combining Procedural and Declarative Knowledge in a Graphical Architecture Inproceedings
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}
}
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.
26.
Rosenbloom, Paul S.
Speculations on Leveraging Graphical Models for Architectural Integration of Visual Representation and Reasoning Inproceedings
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}
}
Speculations on Leveraging Graphical Models for Architectural Integration of Visual Representation and Reasoning
27.
Rosenbloom, Paul S.
An Architectural Approach to Statistical Relational AI Inproceedings
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}
}
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.
28.
Rosenbloom, Paul S.
Towards Uniform Implementation of Architectural Diversity Inproceedings
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}
}
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.
29.
Rosenbloom, Paul
Towards a New Cognitive Hourglass: Uniform Implementation of Cognitive Architecture via Factor Graphs Inproceedings
In: Proceedings of the 9th International Conference on Cognitive Modeling (ICCM 2009), Manchester, UK, 2009.
@inproceedings{rosenbloom_towards_2009,
title = {Towards a New Cognitive Hourglass: Uniform Implementation of Cognitive Architecture via Factor Graphs},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Towards%20a%20New%20Cognitive%20Hourglass.pdf},
year = {2009},
date = {2009-07-01},
booktitle = {Proceedings of the 9th International Conference on Cognitive Modeling (ICCM 2009)},
address = {Manchester, UK},
abstract = {As cognitive architectures become ever more ambitious in the range of phenomena they are to assist in producing and modeling, there is increasing pressure for diversity in the mechanisms they embody. Yet uniformity remains critical for both elegance and extensibility. Here, the search for uniformity is continued, but shifted downwards in the cognitive hierarchy to the implementation level. Factor graphs are explored as a promising core, with initial steps towards a reimplementation of Soar. The ultimate aim is a uniform implementation level for cognitive architectures affording both heightened elegance and expanded coverage.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
As cognitive architectures become ever more ambitious in the range of phenomena they are to assist in producing and modeling, there is increasing pressure for diversity in the mechanisms they embody. Yet uniformity remains critical for both elegance and extensibility. Here, the search for uniformity is continued, but shifted downwards in the cognitive hierarchy to the implementation level. Factor graphs are explored as a promising core, with initial steps towards a reimplementation of Soar. The ultimate aim is a uniform implementation level for cognitive architectures affording both heightened elegance and expanded coverage.
30.
Rosenbloom, Paul
A Graphical Rethinking of the Cognitive Inner Loop Inproceedings
In: Proceedings of the The First International Workshop on Graphical Representations for Knowledge Representation and Reasoning, 2009.
@inproceedings{rosenbloom_graphical_2009,
title = {A Graphical Rethinking of the Cognitive Inner Loop},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/A%20Graphical%20Rethinking%20of%20the%20Cognitive%20Inner%20Loop.pdf},
year = {2009},
date = {2009-01-01},
booktitle = {Proceedings of the The First International Workshop on Graphical Representations for Knowledge Representation and Reasoning},
abstract = {Explorations of graphical representation and rea- soning have yielded intriguing results spanning symbol, probability and signal processing. Here we explore an integrative application of graphs, as a path towards cognitive architectures of increased elegance, functionality, and extensibility. The spe- cific focus is on steps towards a graphical reim- plementation and extension of the cognitive inner loop within the Soar architecture. Alchemy, an im- plementation of Markov logic, is used for initial experiments, yielding insights into what will ulti- mately be required for full graphical implementa- tions of enhanced cognitive inner loops.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Explorations of graphical representation and rea- soning have yielded intriguing results spanning symbol, probability and signal processing. Here we explore an integrative application of graphs, as a path towards cognitive architectures of increased elegance, functionality, and extensibility. The spe- cific focus is on steps towards a graphical reim- plementation and extension of the cognitive inner loop within the Soar architecture. Alchemy, an im- plementation of Markov logic, is used for initial experiments, yielding insights into what will ulti- mately be required for full graphical implementa- tions of enhanced cognitive inner loops.
31.
Rosenbloom, Paul
A Cognitive Odyssey: From the Power Law of Practice to a General Learning Mechanism and Beyond Journal Article
In: Tutorials in Quantitative Methods for Psychology, vol. 2, no. 2, pp. 43–51, 2006.
@article{rosenbloom_cognitive_2006,
title = {A Cognitive Odyssey: From the Power Law of Practice to a General Learning Mechanism and Beyond},
author = {Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/A%20Cognitive%20Odyssey-%20From%20the%20Power%20Law%20of%20Practice%20to%20a%20General%20Learning%20Mechanism%20and%20Beyond.pdf},
year = {2006},
date = {2006-01-01},
journal = {Tutorials in Quantitative Methods for Psychology},
volume = {2},
number = {2},
pages = {43--51},
abstract = {This article traces a line of research that began with the establishment of a pervasive regularity in human performance – the Power Law of Practice – and proceeded through several decades' worth of investigations that this opened up into learning and cognitive architecture. The results touch on both cognitive psychology and artificial intelligence, and more specifically on the possibily of building general learning mechanisms/systems. It is a story whose final chapter is still to be written.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article traces a line of research that began with the establishment of a pervasive regularity in human performance – the Power Law of Practice – and proceeded through several decades' worth of investigations that this opened up into learning and cognitive architecture. The results touch on both cognitive psychology and artificial intelligence, and more specifically on the possibily of building general learning mechanisms/systems. It is a story whose final chapter is still to be written.
32.
Hill, Randall W.; Gratch, Jonathan; Rosenbloom, Paul
Flexible Group Behavior: Virtual Commanders for Synthetic Battlespaces Inproceedings
In: Proceedings of the 4th International Conference on Autonomous Agents, Barcelona, Spain, 2000.
@inproceedings{hill_flexible_2000,
title = {Flexible Group Behavior: Virtual Commanders for Synthetic Battlespaces},
author = {Randall W. Hill and Jonathan Gratch and Paul Rosenbloom},
url = {http://ict.usc.edu/pubs/Flexible%20Group%20Behavior-%20Virtual%20Commanders%20for%20Synthetic%20Battlespaces.pdf},
year = {2000},
date = {2000-06-01},
booktitle = {Proceedings of the 4th International Conference on Autonomous Agents},
address = {Barcelona, Spain},
abstract = {This paper describes a project to develop autonomous commander agents for synthetic battlespaces. The commander agents plan missions, monitor their execution, and replan when necessary. To reason about the social aspects of group behavior, the commanders take various social stances that enable them to collaborate with friends, exercise or defer to authority, and thwart their foes. The purpose of this paper is to describe these capabilities and how they came to be through a series of lessons learned while developing autonomous agents for this domain.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes a project to develop autonomous commander agents for synthetic battlespaces. The commander agents plan missions, monitor their execution, and replan when necessary. To reason about the social aspects of group behavior, the commanders take various social stances that enable them to collaborate with friends, exercise or defer to authority, and thwart their foes. The purpose of this paper is to describe these capabilities and how they came to be through a series of lessons learned while developing autonomous agents for this domain.
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