scholarly journals A Dynamical Perspective on the Generality Problem

2021 ◽  
Author(s):  
Andreas Stephens ◽  
Trond A. Tjøstheim ◽  
Maximilian K. Roszko ◽  
Erik J. Olsson

AbstractThe generality problem is commonly considered to be a critical difficulty for reliabilism. In this paper, we present a dynamical perspective on the problem in the spirit of naturalized epistemology. According to this outlook, it is worth investigating how token belief-forming processes instantiate specific types in the biological agent’s cognitive architecture (including other relevant embodied features) and background experience, consisting in the process of attractor-guided neural activation. While our discussion of the generality problem assigns “scientific types” to token processes, it represents a unified account in the sense that it incorporates contextual and common sense features emphasized by other authors.

2020 ◽  
pp. 1430-1449
Author(s):  
K.R. Shylaja ◽  
M.V. Vijayakumar ◽  
E. Vani Prasad ◽  
Darryl N. Davis

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze and compare the performance of agents in critical and dynamic environments. Awareness and attention to specific parameters that affect the performance of agents specify the consciousness level in agents. Common sense is a set of beliefs that are accepted to be true among a group of agents that are engaged in a common purpose, with or without self-experience. The common sense agents are a kind of conscious agents that are given with few common sense assumptions. The so-created environment has attackers with dependency on agents in the survival-food chain. These attackers create a threat mental state in agents that can affect their conscious and common sense behaviors. The agents are built with a multi-layer cognitive architecture COCOCA (Consciousness and Common sense Cognitive Architecture) with five columns and six layers of cognitive processing of each precept of an agent. The conscious agents self-learn strategies for threat management and energy level maintenance. Experimentation conducted in this research work demonstrates animate-level intelligence in their problem-solving capabilities, decision making and reasoning in critical situations.


2017 ◽  
Vol 9 (1) ◽  
pp. 20-42 ◽  
Author(s):  
K.R. Shylaja ◽  
M.V. Vijayakumar ◽  
E. Vani Prasad ◽  
Darryl N. Davis

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze and compare the performance of agents in critical and dynamic environments. Awareness and attention to specific parameters that affect the performance of agents specify the consciousness level in agents. Common sense is a set of beliefs that are accepted to be true among a group of agents that are engaged in a common purpose, with or without self-experience. The common sense agents are a kind of conscious agents that are given with few common sense assumptions. The so-created environment has attackers with dependency on agents in the survival-food chain. These attackers create a threat mental state in agents that can affect their conscious and common sense behaviors. The agents are built with a multi-layer cognitive architecture COCOCA (Consciousness and Common sense Cognitive Architecture) with five columns and six layers of cognitive processing of each precept of an agent. The conscious agents self-learn strategies for threat management and energy level maintenance. Experimentation conducted in this research work demonstrates animate-level intelligence in their problem-solving capabilities, decision making and reasoning in critical situations.


2012 ◽  
Vol 3 (2) ◽  
pp. 26-37
Author(s):  
K. R. Shylaja ◽  
Vijayakumar Maragal Venkatamuni ◽  
Darryl N. Davis ◽  
E. V. Prasad

The research identifies the concepts of consciousness and commonsense. It also investigates and demonstrates how consciousness level of an agent and its common sense reasoning abilities can improve the performance and intelligence using SMCA (Society of Mind Cognitive Architecture) as a case study. Consciousness is a sense of awareness about oneself and the surroundings in which the animal or human being lives. This gives a connection between a non materialistic mind and a materialistic brain. Common sense in common world is one that is immediately perceived by everyone from a given environment. A six tiered (layers) SMCA control model is designed that relies on a society of agents operating using metrics associated with the principles of artificial economics in animal cognition. SMCA is a society or collection of agents, where agents tasks implemented on testbed, demonstrates simple to complex level of consciousness and commonsense.


2020 ◽  
Vol 43 ◽  
Author(s):  
Chris Fields ◽  
James F. Glazebrook

Abstract Gilead et al. propose an ontology of abstract representations based on folk-psychological conceptions of cognitive architecture. There is, however, no evidence that the experience of cognition reveals the architecture of cognition. Scale-free architectural models propose that cognition has the same computational architecture from sub-cellular to whole-organism scales. This scale-free architecture supports representations with diverse functions and levels of abstraction.


2005 ◽  
Vol 36 (4) ◽  
pp. 19
Author(s):  
Nancy Walsh
Keyword(s):  

Author(s):  
Thomas Paine
Keyword(s):  

2008 ◽  
Vol 39 (3) ◽  
pp. 141-150 ◽  
Author(s):  
Rainer Reisenzein ◽  
Irina Mchitarjan

According to Heider, some of his ideas about common-sense psychology presented in The Psychology of Interpersonal Relations ( Heider, 1958 ) originally came from his academic teacher, Alexius Meinong. However, Heider makes no reference to Meinong in his book. To clarify Meinong’s influence on Heider, we compare Heider’s explication of common-sense psychology with Meinong’s writings, in particular those on ethics. Our results confirm that Heider’s common-sense psychology is informed by Meinong’s psychological analyses in several respects: Heider adopts aspects of Meinong’s theory of emotion, his theory of value, and his theory of responsibility attribution. In addition, Heider more or less continues Meinong’s method of psychological inquiry. Thus, even without Meinong’s name attached, many aspects of Meinong’s psychology found their way into today’s social psychology via Heider. Unknowingly, some of us have been Meinongians all along.


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