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Journal ArticleDOI

Prospective logic agents

Luís Moniz Pereira, +1 more
- 28 Aug 2009 - 
- Vol. 1, pp 200-208
TLDR
This work starts by building on previous theoretical background, on evolving programs and on abduction, to construe a framework for prospection and describe an abstract procedure for its materialisation, and takes on several examples of modelling prospective logic programs that illustrate the proposed concepts.
Abstract
As we face the actual possibility of modelling agent systems capable of non-deterministic self-evolution, we are confronted with the problem of having several different possible futures for any single agent. This issue brings the challenge of how to allow such evolving agents to be able to look ahead, prospectively, into such hypothetical futures, in order to determine the best courses of evolution from their own present, and thence to prefer amongst them. The concept of prospective logic programs is presented as a way to address such issues. We start by building on previous theoretical background, on evolving programs and on abduction, to construe a framework for prospection and describe an abstract procedure for its materialisation. We take on several examples of modelling prospective logic programs that illustrate the proposed concepts and briefly discuss the ACORDA system, a working implementation of the previously presented procedure. We conclude by elaborating about current limitations of the system...

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Citations
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Proceedings ArticleDOI

Modelling morality with prospective logic

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Moral reasoning under uncertainty

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Inspecting and Preferring Abductive Models

TL;DR: This book consists of various contributions in conjunction with the keywords "reasoning" and "intelligent systems", which widely covers theoretical to practical aspects of intelligent systems.
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Evolutionary intelligence in asphalt pavement modeling and quality-of-information

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Evolution prospection in decision making

TL;DR: This work provides a way for modelling its evolving knowledge base, including environment and course of evolution triggering of all active goals (desires), context-sensitive preferences and integrity constraints, and equips its agent with so-called evolution-level preferences mechanism, involving three distinct types of commitment.
References
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Journal ArticleDOI

The independent choice logic for modelling multiple agents under uncertainty

TL;DR: It is argued that the ICL provides a natural and concise representation for multi-agent decision-making under uncertainty that allows for the representation of structured probability tables, the dynamic construction of networks and a way to handle uncertainty and decisions in a logical representation.

The role of abduction in logic programming

TL;DR: The general framework of Abduction and its applications to Knowledge Assimilation and Default Reasoning is outlined; the argumentation-theoretic approach to the use of abduction as an interpretation for Negation as Failure is described.
Journal ArticleDOI

Dynamic updates of non-monotonic knowledge bases

TL;DR: This paper introduces the paradigm of dynamic logic programming by introducing the notion of an update P U of one logic program P by another logic program U, and provides a precise semantic characterization of P U , and studies some basic properties of program updates.
Journal ArticleDOI

A Classification Theory Of Semantics Of Normal Logic Programs: I. Strong Properties

TL;DR: This article presents a method for classifying and characterizing the various different semantics of logic programs with negation and shows that the 3-valued version COMP 3 of Clark's completion, the stratified semantics M supp P as well as the well-founded semantics WFS and two extensions of it behave very regular.
Book ChapterDOI

Evolving Logic Programs

TL;DR: This paper describes a simple though quite powerful approach to modelling the updates of knowledge bases expressed by generalized logic programs, by means of a new language, hereby christened EVOLP (after EVOlving Logic Programs).
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