Corrigendum to “Finding similarity in a model of relational reasoning” [Cognitive Systems Research 10 (2009) 229–239]

2010 ◽  
Vol 11 (2) ◽  
pp. 210
Author(s):  
Eric G. Taylor ◽  
John E. Hummel
Keyword(s):  
Relational Reasoning ◽  
Cognitive Systems ◽  
Systems Research

Autopoietic Cognitive Systems in Management Applications

2021 ◽  
pp. 98-121
Author(s):  
Dariusz Nowak-Nova
Keyword(s):  
Social Systems ◽  
Cognitive Systems ◽  
Systematic Mapping Study ◽  
Cognitive Computing ◽  
Knowledge Domain ◽  
Practical Applications ◽  
Autopoietic Systems ◽  
Systems Research ◽  
Communications Systems ◽  
Research Domains

This chapter presents the study of available literature describing autopoietic systems using the systematic mapping study method. Using the knowledge domain visualization technique, the areas of application for management cognitive systems and described therein self-sufficient processes responsible for the success of an organisation were presented. In the study, the research domains considered from the perspective of autopoiesis, such as cognitive computing (CC), information system (IS), communications systems, and Social Systems, were isolated. The study demonstrated that systems implemented based on CC in connection with IS are recommended for management systems. Research confirmed that CC applications using cognitive systems in autopoietic cognitive systems solutions constitute a developing field. Finally, specific and practical applications of cognitive technologies capable of being translated into the economic success of enterprises were indicated.

Feeling Functional: A Formal Account of Artificial Phenomenology

2021 ◽  
pp. 2150007
Author(s):  
Tarek R. Besold ◽  
Lorijn Zaadnoordijk ◽  
David Vernon
Keyword(s):  
Research And Development ◽  
Cognitive System ◽  
Sense Of Agency ◽  
Cognitive Systems ◽  
General Argument ◽  
Systems Research ◽  
The World

For humans, phenomenal experiences take up a central role in their daily interaction with the world. In this paper, we argue in favor of shifting phenomenal experiences into the focus of cognitive systems research and development. Instead of aiming to make artificial systems feel in the same way humans do, we focus on the possibilities of engineering capacities that are functionally equivalent to phenomenal experiences. These capacities can provide a different quality of input, enabling a cognitive system to self-evaluate its state in the world more effectively and with more generality than current methods allow. We ground our general argument using the example of the sense of agency. At the same time, we reflect on the broader possibilities and benefits for artificial counterparts to human phenomenal experiences and provide suggestions regarding the implementation of functionally equivalent mechanisms.

scholarly journals Analogy and Relational Representations in the Companion Cognitive Architecture

AI Magazine ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 34-42
Author(s):  
Kenneth D. Forbus ◽  
Thomas Hinrich
Keyword(s):  
Analogical Reasoning ◽  
Cognitive Architecture ◽  
Lessons Learned ◽  
Cognitive Systems ◽  
Open Problems ◽  
Systems Research ◽  
Software Social

The Companion cognitive architecture is aimed at reaching human-level AI by creating software social organisms, systems that interact with people using natural modalities, working and learning over extended periods of time as collaborators rather than tools. Our two central hypotheses about how to achieve this are (1) analogical reasoning and learning are central to cognition, and (2) qualitative representations provide a level of description that facilitates reasoning, learning, and communication. This paper discusses the evidence we have gathered supporting these hypotheses from our experiments with the Companion architecture. Although we are far from our ultimate goals, these experiments provide strong breadth for the utility of analogy and QR across a range of tasks. We also discuss three lessons learned and highlight three important open problems for cognitive systems research more broadly.

The animat contribution to cognitive systems research

2001 ◽  
Vol 2 (2) ◽  
pp. 157-165 ◽  
Author(s):  
Agnès Guillot ◽  
Jean-Arcady Meyer
Keyword(s):  
Cognitive Systems ◽  
Systems Research

Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic
Keyword(s):  
Temporal Reasoning ◽  
Higher Order ◽  
Important Case ◽  
Human Cognition ◽  
Relational Reasoning ◽  
Dual Systems ◽  
First Order ◽  
Reasoning System ◽  
Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

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