Reasoning in Highly Reactive Environments

09/18/2019
by   Francesco Pacenza, et al.
0

The aim of my Ph.D. thesis concerns Reasoning in Highly Reactive Environments. As reasoning in highly reactive environments, we identify the setting in which a knowledge-based agent, with given goals, is deployed in an environment subject to repeated, sudden and possibly unknown changes. This is for instance the typical setting in which, e.g., artificial agents for video-games (the so called "bots"), cleaning robots, bomb clearing robots, and so on are deployed. In all these settings one can follow the classical approach in which the operations of the agent are distinguished in "sensing" the environment with proper interface devices, "thinking", and then behaving accordingly using proper actuators. In order to operate in an highly reactive environment, an artificial agent needs to be: 1. Responsive -> The agent must be able to react repeatedly and in a reasonable amount of time; 2. Elastic -> The agent must stay reactive also under varying workload; 3. Resilient -> The agent must stay responsive also in case of internal failure or failure of one of the programmed actions in the environment. Nowadays, thanks to new technologies in the field of Artificial Intelligence, it is already technically possible to create AI agents that are able to operate in reactive environments. Nevertheless, several issues stay unsolved, and are subject of ongoing research.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/23/2017

The Refinement Calculus of Reactive Systems Toolset

We present the Refinement Calculus of Reactive Systems Toolset, an envir...
research
01/15/2014

Computational Logic Foundations of KGP Agents

This paper presents the computational logic foundations of a model of ag...
research
02/03/2011

An architecture for the evaluation of intelligent systems

One of the main research areas in Artificial Intelligence is the coding ...
research
06/21/2017

Ensemble Framework for Real-time Decision Making

This paper introduces a new framework for real-time decision making in v...
research
01/02/2022

The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents

The last few years have witnessed substantial progress in the field of e...
research
05/20/2015

Multi-Context Systems for Reactive Reasoning in Dynamic Environments

We show in this paper how managed multi-context systems (mMCSs) can be t...
research
02/18/2019

Reactive, Proactive, and Inductive Agents: An evolutionary path for biological and artificial spiking networks

Complex environments provide structured yet variable sensory inputs. To ...

Please sign up or login with your details

Forgot password? Click here to reset