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There is growing consensus that human memory is mediated by multiple qualitatively different systems co-evolved to function in a complementary way. As a result, memory should be studied not only using direct tests of memory but also using other tasks that naturally require memory access. This article presents an attempt at using the declarative memory systems in CLARION (termed the Non-Action-Centered...
The paper presents the usage of a prototype DSO cognitive architecture (DSO-CA) for mobile surveillance. DSO-CA is able to bring to bear different types of knowledge to solve problems. It imbues mobile robots with intelligent capabilities like reasoning and adaptive path planning in dynamic environments, and achieves human-inspired object recognition. These intelligent robotic movements and object...
Some psychologists have criticized computational cognitive architectures on the basis of model complexity and parameter tweaking. This paper addresses these criticisms by using a well established cognitive architecture, CLARION, and extracting its core theory to explain a wide range of reasoning (and other) data. The resulting model provides principled, almost parameter-free explanations for psychological...
It has been argued that dual process theories are not consistent with Oaksford and Chater’s probabilistic approach to human reasoning (Oaksford and Chater in Psychol Rev 101:608–631, 1994, 2007; Oaksford et al. 2000), which has been characterised as a “single-level probabilistic treatment[s]” (Evans 2007). In this paper, it is argued that this characterisation conflates levels of computational explanation...
This paper presents an embeddable knowledge processing framework, along with a common-sense ontology, designed for robotics. We believe that a direct and explicit integration of cognition is a compulsory step to enable human-robots interaction in semantic-rich human environments like our houses. The OpenRobots Ontology (ORO) kernel allows to turn previously acquired symbols into concepts linked to...
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