This paper describes an investigation that compared and contrasted Context-based Reasoning (CxBR) and Contextual Graphs (CxG), two paradigms used to represent human intelligence. The specific objectives were to increase understanding of both paradigms, identifying which, if either, excels at a particular function, and to look for potential synergism amongst them. We study these paradigms through ten different aspects, with some indication of which one excels at this particular facet of performance. We point out how they are complementary and finishes with a recommendation for a new synergistic approach, followed by an example of an application of the new approach to tactica
Companies are increasingly using artificial intelligence (AI) applications for decision-making today...
A decision support system implementing the Contextual Graph representational paradigm is described. ...
Despite recent Artificial Intelligence (AI) advances in narrow task areas such as face recognition a...
This paper describes an investigation that compared and contrasted Context-based Reasoning (CxBR) an...
This paper describes an investigation that compared Context-based Reasoning (CxBR) and Contextual Gr...
This paper describes an investigation that compared Context-based Reasoning (CxBR) and Contextual Gr...
Context-based Reasoning (CxBR) and Contextual Graphs (CxGs) involve the modeling of human behavior i...
Contextually based reasoning is an essential aspect of human cognition, permeating language, memory,...
This paper formally describes the context-based reasoning (CxBR) paradigm. CxBR can be used to repre...
This paper formally describes the context-based reasoning (CxBR) paradigm. CxBR can be used to repre...
It has been widely known that reasoning with and about context is an essential aspect of human cogni...
This paper is an extension to and revision of Gonzalez and Ahlers\u27 [6] definition of the Context-...
The reliance on subject matter experts to provide expertise may restrict development of human behavi...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
This article presents, describes and evaluates a novel behavior representation paradigm that can eff...
Companies are increasingly using artificial intelligence (AI) applications for decision-making today...
A decision support system implementing the Contextual Graph representational paradigm is described. ...
Despite recent Artificial Intelligence (AI) advances in narrow task areas such as face recognition a...
This paper describes an investigation that compared and contrasted Context-based Reasoning (CxBR) an...
This paper describes an investigation that compared Context-based Reasoning (CxBR) and Contextual Gr...
This paper describes an investigation that compared Context-based Reasoning (CxBR) and Contextual Gr...
Context-based Reasoning (CxBR) and Contextual Graphs (CxGs) involve the modeling of human behavior i...
Contextually based reasoning is an essential aspect of human cognition, permeating language, memory,...
This paper formally describes the context-based reasoning (CxBR) paradigm. CxBR can be used to repre...
This paper formally describes the context-based reasoning (CxBR) paradigm. CxBR can be used to repre...
It has been widely known that reasoning with and about context is an essential aspect of human cogni...
This paper is an extension to and revision of Gonzalez and Ahlers\u27 [6] definition of the Context-...
The reliance on subject matter experts to provide expertise may restrict development of human behavi...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
This article presents, describes and evaluates a novel behavior representation paradigm that can eff...
Companies are increasingly using artificial intelligence (AI) applications for decision-making today...
A decision support system implementing the Contextual Graph representational paradigm is described. ...
Despite recent Artificial Intelligence (AI) advances in narrow task areas such as face recognition a...