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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)
Here we describe briefly the architecture and mechanisms of a " conscious " software agent named IDA who is to act as a type of employment agent. We go on to show how this architecture and these mechanisms allow IDA to deliberate much as we humans do and to make voluntary choices of actions. The technology described, if successful, should allow the(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 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)
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)
This paper presents detailed simulation results on a modified Sparse Distributed Memory (SDM) system. We have modified Kanerva's original SDM system into an architecture with a ternary memory space. This enables the memory to be used as a Transient Episodic Memory (TEM) in cognitive software agents. TEM is a memory with high specificity and low retention,(More)
This paper presents research on the development of effective forgetting mechanisms for the Sparse Distributed Memory (SDM) system, to computationally model Transient Episodic Memory (TEM), a short-term sensory perceptual episodic memory in software agents. Possible theories and mechanisms for forgetting are retrieval failures, decay and interference. The(More)