Shastri & Ajjanagadde have proposed a biologically plausible connectionist rule-based reasoning system (hereafter referred to as a knowledge base, or KB), that represents a dynamic binding as the simultaneous, or in-phase, activity of the appropriate nodes [9]. This paper makes the first attempt at designing a biologically plausible connectionist interface mechanism between 2 distinct phase-based KB, as the next step toward providing a computational account of common-sense reasoning. The Dynamic Binding Communication Mechanism (DBCM) extracts a dynamic binding from a source KB and incorporates the binding into a destination KB so that it is consistent with the knowledge already represented in the latter. DBCM consists of several distinct, s...
This paper describes an efficient connectionist knowledge representation and reasoning system that c...
I present an algorithm which allows two agents to generate a simple language based only on observati...
This paper presents a connectionist model of human reasoning that uses temporal relations between n...
Shastri & Ajjanagadde have proposed a biologically plausible connectionist rule-based reasoning syst...
Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficienc...
This thesis addresses the problem of efficiently representing large knowledge bases and performing a...
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and ...
Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficienc...
This paper describes an efficient connectionist knowledge representation and reasoning system that c...
One of the most pervading concepts underlying computational models of information processing in the ...
McCarthy has observed that the representational power of most connectionist systems is restricted to...
A psychologically plausible binding mechanism for connectionist networks is sought. Twenty--two subj...
The relationship between symbolicism and connectionism has been one of the major issues in recent A...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Intelligent systems based on first-order logic on the one hand, and on artificial neural networks (a...
This paper describes an efficient connectionist knowledge representation and reasoning system that c...
I present an algorithm which allows two agents to generate a simple language based only on observati...
This paper presents a connectionist model of human reasoning that uses temporal relations between n...
Shastri & Ajjanagadde have proposed a biologically plausible connectionist rule-based reasoning syst...
Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficienc...
This thesis addresses the problem of efficiently representing large knowledge bases and performing a...
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and ...
Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficienc...
This paper describes an efficient connectionist knowledge representation and reasoning system that c...
One of the most pervading concepts underlying computational models of information processing in the ...
McCarthy has observed that the representational power of most connectionist systems is restricted to...
A psychologically plausible binding mechanism for connectionist networks is sought. Twenty--two subj...
The relationship between symbolicism and connectionism has been one of the major issues in recent A...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Intelligent systems based on first-order logic on the one hand, and on artificial neural networks (a...
This paper describes an efficient connectionist knowledge representation and reasoning system that c...
I present an algorithm which allows two agents to generate a simple language based only on observati...
This paper presents a connectionist model of human reasoning that uses temporal relations between n...