Publication Type

Journal Article

Version

publishedVersion

Publication Date

3-2016

Abstract

Developing a complex intelligent system by abstracting their behaviors, functionalities, and reasoning mechanisms can be tedious and time consuming. In this paper, we present a framework for developing an application or software system based on smart autonomous components that collaborate with the developer or user to realize the entire system. Inspired by teachable approaches and programming-by-demonstration methods in robotics and end-user development, we treat intelligent agents as teachable components that make up the system to be built. Each agent serves different functionalities and may have prebuilt operations to accomplish its own design objectives. However, each agent may also be equipped with in-built social-cognitive traits to interact with the user or other agents in order to adapt its own operations, objectives, and relationships with others. The results of adaptation can be in the form of groups or multiagent systems as new aggregated components. This approach is made to tackle the difficulties in completely programming the entire system by allowing the user to teach the components toward the desired behaviors in the situated context of the application. We exemplify this novel method with cases in the domains of human-like agents in virtual environment and agents for in-house caregiving.

Keywords

Learning Systems, Cooperative Systems, Software Engineering

Discipline

Computer and Systems Architecture | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans

Volume

46

Issue

12

First Page

1724

Last Page

1735

ISSN

1083-4427

Identifier

10.1109/TSMC.2016.2531656

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Additional URL

https://doi.org/10.1109/TSMC.2016.2531656

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