Book ChapterDOI
Making Agents Acceptable to People
Jeffrey M. Bradshaw
- pp 1-3
TLDR
In this paper, the authors focus on the technical and social aspects of how to make agents acceptable to people and devise a computational structure that guarantees that from the technical standpoint all is under control, and provide reassurance to people that all is working according to plan.Abstract:
Because ever more powerful intelligent agents will interact with people in increasingly sophisticated and important ways, greater attention must be given to the technical and social aspects of how to make agents acceptable to people [4], p. 51]. The technical challenge is to devise a computational structure that guarantees that from the technical standpoint all is under control. We want to be able to help ensure the protection of agent state, the viability of agent communities, and the reliability of the resources on which they depend. To accomplish this, we must guarantee, insofar as is possible, that the autonomy of agents can always be bounded by explicit enforceable policy that can be continually adjusted to maximize the agents. effectiveness and safety in both human and computational environments. The social challenge is to ensure that agents and people interact gracefully and to provide reassurance to people that all is working according to plan. We want agents to be designed to fit well with how people actually work together. Explicit policies governing human-agent interaction, based on careful observation of work practice and an understanding of current social science research, can help assure that effective and natural coordination, appropriate levels and modalities of feedback, and adequate predictability and responsiveness to human control are maintained. These factors are key to providing the reassurance and trust that are the prerequisites to the widespread acceptance of agent technology for non-trivial applications.read more
Citations
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Book ChapterDOI
Applying KAoS services to ensure policy compliance for semantic web services workflow composition and enactment
TL;DR: The experience in applying KAoS services to ensure policy compliance for Semantic Web Services workflow composition and enactment is described and how this work has uncovered requirements for increasing the expressivity of policy beyond what can be done with description logic is described.
Journal ArticleDOI
Ten challenges for making automation a "team player" in joint human-agent activity
TL;DR: This analysis is based on some of the principles of human-centered computing that have developed individually and jointly over the years, and is adapted from a more comprehensive examination of common ground and coordination.
Proceedings ArticleDOI
KAoS policy and domain services: toward a description-logic approach to policy representation, deconfliction, and enforcement
A. Uszok,Jeffrey M. Bradshaw,R. Jeffers,Niranjan Suri,Patrick J. Hayes,M. Breedy,Larry Bunch,M. Johnson,S. Kulkarni,James Lott +9 more
TL;DR: The KAoS services rely on a DAML description-logic-based ontology of the computational environment, application context, and the policies themselves that enables runtime extensibility and adaptability of the system, as well as the ability to analyze policies relating to entities described at different levels of abstraction.
Book ChapterDOI
Semantic web languages for policy representation and reasoning: a comparison of KAoS, Rei, and Ponder
TL;DR: This paper compares three approaches to policy representation, reasoning, and enforcement, highlighting similarities and differences between Ponder, KAoS, and Rei, and sketch out some general criteria and properties for more adequate approach to policy semantics in the future.
References
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Agents that reduce work and information overload
TL;DR: Results from several prototype agents that have been built using an approach to building interface agents are presented, including agents that provide personalized assistance with meeting scheduling, email handling, electronic news filtering, and selection of entertainment.
Journal ArticleDOI
Software agents
TL;DR: In this approach to software development, application programs are written as software agents, i.e. software “components” that communicate with their peers by exchanging messages in an expressive agent communication language.