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Found 7 papers, 4 papers with code
A Task-Oriented Dialogue Architecture via Transformer Neural Language Models and Symbolic Injection
Recently, transformer language models have been applied to build both task- and non-task-oriented dialogue systems.
Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis
This paper explores the integration of two AI subdisciplines employed in the development of artificial agents that exhibit intelligent behavior: Large Language Models (LLMs) and Cognitive Architectures (CAs).
InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd
The user verbally expresses a problem to the system, in which a group of crowd workers collectively respond and program relevant multi-part IF-THEN rules to help the user.
Architectural Middleware that Supports Building High-performance, Scalable, Ubiquitous, Intelligent Personal Assistants
Intelligent Personal Assistants (IPAs) are software agents that can perform tasks on behalf of individuals and assist them on many of their daily activities.
Dynamic Service Composition Orchestrated by Cognitive Agents in Mobile & Pervasive Computing
Automatic service composition in mobile and pervasive computing faces many challenges due to the complex nature of the environment.
Cognitively-inspired Agent-based Service Composition for Mobile & Pervasive Computing
Automatic service composition in mobile and pervasive computing faces many challenges due to the complex and highly dynamic nature of the environment.
NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings
Current approaches for service composition (assemblies of atomic services) require developers to use: (a) domain-specific semantics to formalize services that restrict the vocabulary for their descriptions, and (b) translation mechanisms for service retrieval to convert unstructured user requests to strongly-typed semantic representations.
