TY - CHAP
T1 - Intelligence and autonomy in artificial agents
AU - Pereira, Luís Moniz
AU - Lopes, António Barata
PY - 2020
Y1 - 2020
N2 - An intelligent agent will, inherently, be an autonomous agent. Assuming this thesis is pertinent, it becomes necessary to clarify the notion of autonomy and its prerequisites. Initially, the difficulties inherent in developing ways of thinking that make it effective must be acknowledged. In fact, most individuals deliberate and decide on concrete aspects of their lives yet are unable to do so critically enough. This requires a complex set of prerequisites to be met, which we make explicit. Among them is the ability to construct hypothetical counterfactual scenarios, which support the analysis of possible futures, thereby leading the subject to the construction of a non-standard identity, of his own preference and choice. In the realm of AI, the notions of genetic algorithms and emergence, allow for an engineered approximation of what is viewed as autonomy in humans. Indeed, a machine can follow trial and error procedures, finding unexpected solutions to problems itself, or in conjunction with other machines. In theory, though we are mindful of the difficulties inherent in the construction of autonomy, nothing in principle prevents machines from attaining it.
AB - An intelligent agent will, inherently, be an autonomous agent. Assuming this thesis is pertinent, it becomes necessary to clarify the notion of autonomy and its prerequisites. Initially, the difficulties inherent in developing ways of thinking that make it effective must be acknowledged. In fact, most individuals deliberate and decide on concrete aspects of their lives yet are unable to do so critically enough. This requires a complex set of prerequisites to be met, which we make explicit. Among them is the ability to construct hypothetical counterfactual scenarios, which support the analysis of possible futures, thereby leading the subject to the construction of a non-standard identity, of his own preference and choice. In the realm of AI, the notions of genetic algorithms and emergence, allow for an engineered approximation of what is viewed as autonomy in humans. Indeed, a machine can follow trial and error procedures, finding unexpected solutions to problems itself, or in conjunction with other machines. In theory, though we are mindful of the difficulties inherent in the construction of autonomy, nothing in principle prevents machines from attaining it.
UR - http://www.scopus.com/inward/record.url?scp=85078538433&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-39630-5_4
DO - 10.1007/978-3-030-39630-5_4
M3 - Chapter
AN - SCOPUS:85078538433
SN - 978-3-030-39629-9
T3 - Studies in Applied Philosophy, Epistemology and Rational Ethics
SP - 33
EP - 37
BT - Machine Ethics
PB - Springer
CY - Cham
ER -