A Multi-layered General Agent Model

Authors:
Stefania Costantini;Arianna Tocchio;Francesca Toni;Panagiota Tsintza
Affiliations:
Università degli Studi di L'Aquila, Dipartimento di Informatica, Via Vetoio, Loc. Coppito, I-67010 L'Aquila, Italy;Università degli Studi di L'Aquila, Dipartimento di Informatica, Via Vetoio, Loc. Coppito, I-67010 L'Aquila, Italy;Department of Computing, Imperial College London, South-Kensington Campus, SW7 2AZ London, UK;Università degli Studi di L'Aquila, Dipartimento di Informatica, Via Vetoio, Loc. Coppito, I-67010 L'Aquila, Italy
Venue:
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Year:
2007

Citing 2
Cited 3

Computing Commonsense

BT Technology Journal
Declarative agent control

CLIMA'04 Proceedings of the 5th international conference on Computational Logic in Multi-Agent Systems

Conditional learning of rules and plans by knowledge exchange in logical agents

RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Observation strategies for event detection with incidence on runtime verification: theory, algorithms, experimentation

Annals of Mathematics and Artificial Intelligence
Answer set modules for logical agents

Datalog'10 Proceedings of the First international conference on Datalog Reloaded

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a layered representation of general agent models with a base layer, composed of basic agent features including control, and a higher layer, consisting of a meta-control with the task of tuning, supervising and modifying the base layer. This provides higher flexibility in how an agent is built and may evolve.