TY  - JOUR
A1  - Gros, Claudius
T1  - Emotions as abstract evaluation criteria in biological and artificial intelligences
T2  - Frontiers in computational neuroscience
N2  - Biological as well as advanced artificial intelligences (AIs) need to decide which goals to pursue. We review nature's solution to the time allocation problem, which is based on a continuously readjusted categorical weighting mechanism we experience introspectively as emotions. One observes phylogenetically that the available number of emotional states increases hand in hand with the cognitive capabilities of animals and that raising levels of intelligence entail ever larger sets of behavioral options. Our ability to experience a multitude of potentially conflicting feelings is in this view not a leftover of a more primitive heritage, but a generic mechanism for attributing values to behavioral options that can not be specified at birth. In this view, emotions are essential for understanding the mind. For concreteness, we propose and discuss a framework which mimics emotions on a functional level. Based on time allocation via emotional stationarity (TAES), emotions are implemented as abstract criteria, such as satisfaction, challenge and boredom, which serve to evaluate activities that have been carried out. The resulting timeline of experienced emotions is compared with the “character” of the agent, which is defined in terms of a preferred distribution of emotional states. The long-term goal of the agent, to align experience with character, is achieved by optimizing the frequency for selecting individual tasks. Upon optimization, the statistics of emotion experience becomes stationary.
KW  - emotion theory
KW  - feelings (emotions)
KW  - theory mind
KW  - artificial intelligence
KW  - decision making
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/62055
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-620553
SN  - 1662-5188
VL  - 15
IS  - art. 726247
SP  - 1
EP  - 10
PB  - Frontiers Research Foundation
CY  - Lausanne
ER  -