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In this paper we present the LIDA architecture as a working model of cognition. We argue that such working models are broad in scope and address real world problems in comparison to experimentally based models which focus on specific pieces of cognition. While experimentally based models are useful, we need a working model of cognition that integrates what(More)
Effectively educating families about the risks and benefits of genomic tests such as whole exome sequencing (WES) offers numerous challenges, including the complexity of test results and potential loss of privacy. Research on best practices for obtaining informed consent (IC) in a variety of clinical settings is needed. The BASIC3 study of clinical tumor(More)
In an attempt to illustrate the application of cognitive science principles to hard AI problems in machine learning we propose the LIDA technology, a cognitive science based architecture capable of more human-like learning. A LIDA based software agent or cognitive robot will be capable of three fundamental, continuously active, human-like learning(More)
Conscious events interact with memory systems in learning, rehearsal and retrieval (Ebbinghaus 1885/1964; Tulving 1985). Here we present hypotheses that arise from the IDA computional model (Franklin, Kelemen and McCauley 1998; Franklin 2001b) of global workspace theory (Baars 1988, 2002). Our primary tool for this exploration is a flexible cognitive cycle(More)
1 Human Information Agents Human information agents include insurance agents, travel agents, voter registrars, mail-order service clerks, telephone information operators, employment agents, AAA route planners, customer service agents, bank loan officers, and many, many others. Such human agents must typically possess a common set of skills. These would(More)
In this paper, we present LIDA, a working model of, and theoretical foundation for, machine consciousness. LIDA's architecture and mechanisms were inspired by a variety of computational paradigms and LIDA implements the Global Workspace Theory of consciousness. The LIDA architecture's cognitive modules include perceptual associative memory, episodic memory,(More)
This paper presents a Modified Sparse Distributed Memory architecture for use in software agents with natural language processing capabilities. We have modified Kanerva's Sparse Distributed Memory (SDM) into an architecture with a ternary memory space. This enables the memory to be used in IDA, the Intelligent Distribution Agent built for the U.S. Navy. IDA(More)