Authors:
Richardson Ribeiro
1
;
Marcelo Teixeira
1
;
André L. Wirth
1
;
André P. Borges
2
and
Fabrício Enembreck
2
Affiliations:
1
Federal University of Technology-Paraná, Brazil
;
2
Pontificial Catholical University-Paraná, Brazil
Keyword(s):
Intelligent Agents, Broiler Management and Decision Making Problems.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Industrial Applications of Artificial Intelligence
;
Intelligent Agents
;
Internet Technology
;
Web Information Systems and Technologies
Abstract:
This paper proposes a learning model for taking-decision problems using intelligent agents technologies combined
with instance-based machine learning techniques. Our learning model is applied to a real case to support
the daily decisions of a poultry farmer. The agent of the system is used to generate action policies, in order to
control a set of factors in the daily activities, such as food-meat conversion, amount of food to be consumed,
time to rest, weight gain, comfort temperature, water and energy to be consumed, etc. The perception of the
agent is ensured by a set of sensors scattered by the physical structure of the poultry. The principal role of the
agent is to perform a set of actions in a way to consider aspects such as productivity and profitability without
compromising bird welfare. Experimental results have shown that, for the decision-taking process in poultry
farming, our model is sound, advantageous and can substantially improve the agent actions in comparison with
eq
uivalent decision when taken by a human specialist.
(More)