AIMar 21, 2014

Towards Active Logic Programming

arXiv:1403.5508v18 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for declarative agent programming in AI, but it appears incremental as it builds upon existing logic programming paradigms.

The paper tackles the problem of defining agents and agent systems by introducing the new logic programming language DALI, which incorporates essential features like reactivity and proactivity while maintaining syntax and semantics close to plain Horn-clause language, enabling agents to handle events and exhibit rational behavior.

In this paper we present the new logic programming language DALI, aimed at defining agents and agent systems. A main design objective for DALI has been that of introducing in a declarative fashion all the essential features, while keeping the language as close as possible to the syntax and semantics of the plain Horn--clause language. Special atoms and rules have been introduced, for representing: external events, to which the agent is able to respond (reactivity); actions (reactivity and proactivity); internal events (previous conclusions which can trigger further activity); past and present events (to be aware of what has happened). An extended resolution is provided, so that a DALI agent is able to answer queries like in the plain Horn--clause language, but is also able to cope with the different kinds of events, and exhibit a (rational) reactive and proactive behaviour.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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