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Defeasible justification for the KLM Framework
Published 2024“…Most classical logics, such as Propositional Logic (PL), are monotonic, which means that adding new knowledge to a knowledge base cannot cause the retraction of a previously drawn conclusion. …”
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An overview of KLM-style defeasible entailment
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Semantic optimisation in datalog programs
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KLM-Style Defeasible Reasoning for Datalog
Published 2023“…For real-world reasoning tasks, however, an agent typically only has partial knowledge of its domain, and at most a statistical understanding of relationships between properties. …”
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A mobile application promoting good contact lens practices
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DevelopinThe Bayesian Description Logic BALC
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Ubiquitous intelligence for smart cities: a public safety approach
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Photo searching on small screen devices
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VRBridge: A constructivist approach to supporting interaction design and end-user authoring in virtual reality
Published 2014“…Our design method is based in constructivism, which is a theory that examines the acquisition and use of knowledge. It provides principles for managing complexity in knowledge acquisition: multiplicity of representations and perspectives; simplicity of basic components; encouragement of exploration; support for deep reflection; and providing users with control of their process as much as possible. …”
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Adapting a novel public display system for an educational context
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A foundation for ontology modularisation
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A lightweight interface to local grid scheduling systems
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Searching for patterns in Conway's Game of Life
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Firewall information and security visualization : improving the usage and adoption of modern network firewalls by novice users
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Using programming tools in virtual environments
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Automated stock trading : a multi-agent, evolutionary approach
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Neuro-evolution behavior transfer for collective behavior tasks
Published 2018“…The design of effective, robust and autonomous controllers for multi-agent and multi-robot systems is a long-standing problem in the fields of computational intelligence and robotics. Whilst nature-inspired problem-solving techniques such as reinforcement learning (RL) and evolutionary algorithms (EA) are often used to adapt controllers for solving such tasks, the complexity of such tasks increases with the addition of more agents (or robots) in difficult environments. …”
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Exploring undergraduate interactions with mobile privacy and security
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Co-Designing with and for Milk Donors
Published 2020“…In this research, I examine South African mothers’ experience with computer-supported aid for online communication and information searching. …”
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Evaluation of clustering techniques for generating household energy consumption patterns in a developing country
Published 2020Get full text
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