This paper proposes a cognitive architecture based on Kahneman’s dual process theory [1]. The long-term memory is modeled as a transparent neural network that develops autonomously by interacting with the environment. The working memory is modeled as a buffer containing nodes of the long-term memory. Computations are defined as processes in which working memory content is transformed according ...

An intelligent robot would seem to be an obvious place to implement a cognitive architecture, yet most robotics applications generally have complex software systems that bear little resemblance to cognitive systems. Furthermore, architectures are usually heavily engineered for specific applications. In this paper, we discuss why general architectures that include deliberation and learning are r...

One of the most important abilities for an agent’s cognitive development in a social environment is the ability to recognize and imitate actions of others. In this paper we describe a cognitive architecture for action recognition and imitation, and present experiments demonstrating its implementation in robots. Inspired by neuroscientific and psychological data, and adopting a ‘simulation theor...

4CAPS is a cognitive architecture of interest to both cognitive science and AI. 4CAPS is of interest to cognitive science because it supports models of neuroimaging data collected using fMRI and PET. 4CAPS should be of interest to AI because it organizes human information processing in an optimal and mathematically tractable form. This paper focuses on the adaptivity of 4CAPS models in the face...

This study explores the utilization of information accidentally accessible in the environment when solving a problem. It contrasts the spontaneous use with the prompted use of such information, i.e. it investigates the relationship between the degree of a priori confidence in the relevance of the information and its efficient use. Three degrees are consideredclose pragmatic distance (explicit h...

Our previous research demonstrated how a cognitive architecture can inform the design of instructions. This abstract describes continuing research into instructional representations in both human instruction and cognitive architectures. In our past study (Taatgen et. al, submitted), two different forms of instructions were devised. These were dubbed “list-style” and “operator-style.” As the nam...

This paper presents a cognitive model—the Sensory Motor System (SMS)—for an action execution process, as a new module of the LIDA systems-level cognitive model. Action execution refers to a situation in which a software agent or robot executes a selected goal-directed action in the real world so as to output pertinent movement. Action execution requires transforming a selected goal-directed act...

This paper is a work-in-progress report about Mockingbird, an intelligent musical agent (IMA) based on Sun’s Clarion cognitive architecture (Sun 2003). We briefly discuss the Clarion system, then examine its Motivation Subsystem and the manner in which it models drive states and goals. Finally we propose a potential structure for modeling fine-grained secondary drives in the context of a free i...

In this work we present an ontology-based system equipped with a hybrid architecture for the representation of conceptual information. The proposed system aims at extending the representational and reasoning capabilities of classical ontology-based systems towards more realistic and cognitively grounded scenarios, such as those envisioned by the prototype theory. The resulting system attempts t...

According to Zenon Pylyshyn, Allen Newell took the high road in psychology by working on a theory of the mind intended to cover a wide range of cognitive behavior. Both Newell and Pylyshyn have put forth convincing arguments about the merits of such a research path, and the central role that cognitive architecture plays in it one to develop detailed models of local phenomena while addressing gl...