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Chapter and Conference Paper
Scruff: A Deep Probabilistic Cognitive Architecture for Predictive Processing
The theory of predictive processing encompasses several elements that make it attractive as the underlying computational approach for a cognitive architecture. We introduce a new cognitive architecture, Scruff...
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Article
Decision-making and opinion formation in simple networks
In many networked decision-making settings, information about the world is distributed across multiple agents and agents’ success depends on their ability to aggregate and reason about their local information ...
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Chapter and Conference Paper
Identifying Shared Software Components to Support Malware Forensics
Recent reports from the anti-malware industry indicate similarity between malware code resulting from code reuse can aid in develo** a profile of the attackers. We describe a method for identifying shared co...
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Chapter and Conference Paper
Towards Evaluating Computational Models of Intuitive Decision Making with fMRI Data
A vast array of everyday tasks require individuals to use intuition to make decisions and act effectively, including civilian and military professional tasks such as those undertaken by firefighters, police, s...
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Chapter and Conference Paper
Practical Probabilistic Programming
Probabilistic programming promises to make probabilistic modeling easier by making it possible to create models using the power of programming languages, and by applying general-purpose algorithms to reason ab...
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Article
Specifying and monitoring economic environments using rights and obligations
We provide a formal scripting language to capture the semantics of economic environments. The language is based on a set of well-defined design principles and makes explicit an agent’s rights, as derived from ...
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Article
Natural history and evolutionary principles of gene duplication in fungi
Gene duplication and loss is a powerful source of functional innovation. However, the general principles that govern this process are still largely unknown. With the growing number of sequenced genomes, it is ...
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Chapter and Conference Paper
The Influence of Task Contexts on the Decision-Making of Humans and Computers
Many environments in which people and computer agents interact involve deploying resources to accomplish tasks and satisfy goals. This paper investigates the way that the context in which decisions are made af...
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Chapter and Conference Paper
Specifying and Monitoring Market Mechanisms Using Rights and Obligations
We provide a formal scripting language to capture the semantics of market mechanisms. The language is based on a set of well-defined principles, and is designed to capture an agent’s rights, as derived from pr...
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Chapter
Learning Probabilistic Relational Models
Probabilistic relational models (PRMs) are a language for describing statistical models over typed relational domains. A PRM models the uncertainty over the attributes of objects in the domain and ...
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Article
Mariposa: a wide-area distributed database system
The requirements of wide-area distributed database systems differ dramatically from those of local-area network systems. In a wide-area network (WAN) configuration, individual sites usually report to differe...
