Difficulties of defining “aesthetic”
A huge number of publications are devoted to aesthetic emotions; Google Scholar gives
319,000 references. Nevertheless, finding a definition of what is aesthetic is not
easy. Most authors use no definitions. Wikipedia (2013) gives a circular definition:
“aesthetic emotions… are felt during aesthetic activity.” This is similar to the “institutional
theory of art” that defines art as what is considered so by an accepted art institution
(Dickie, 1974). In 70 years of discussions in the Journal of Aesthetic and Art Criticism
this theory, despite its obvious flaws, remains accepted among philosophers of art.
Scientists studying emotions should aspire for a more meaningful definition, yet it
is not easy to find. For example, Juslin (2013) devotes a special section in his work
introducing aesthetic emotions as a fundamental innovation of his theory of musical
emotions, yet no definition of aesthetic is given.
Difficulties of contemporary theorists attempting to define “aesthetic” might be related
to Kant (1790). He rejected an older idea that aesthetic is related to a special perception
ability (Baumgarten, 1992/1750) and attempted to define aesthetic as related to knowledge.
This article suggests that Kant came amazingly close to the contemporary scientific
understanding, and it clarifies why he could not formulate this idea to his satisfaction.
The best he could do is to say that aesthetic emotion is disinterested. On many pages
he has repeated that this only concerns everyday mundane interests, that the beautiful
is related to some of the most important human interests, that a better definition
is needed, but “today” he could not give a satisfactory positive definition of what
it is. From Schiller to this very day many discussions continue the false tradition
of characterizing aesthetics and beautiful as disinterested (Wikipedia, 2013; Stanford
Encyclopedia Stolnitz, 1960; Scruton, 1974, 2007; Guyer, 1997; de Sousa, 2013; Juslin,
2013; Zangwill, 2013; to name just a few among thousands).
This article defines aesthetic and the beautiful in correspondence with Kantian ideas,
our deepest intuitions about the beautiful, the Aristotelian “unity in manifold,”
(Aristotle, 1995) and in agreement with contemporary understanding of the neural mechanisms
of emotions and cognition.
Mathematical models of emotions and cognition
Here is a short summary of this complicated topic, which is an active area of research
with thousands of publications; the mathematical model captures essential aspects
of the mind mechanisms, it gives many predictions confirmed experimentally and does
not contradict known data (more details and references can be found in Perlovsky et
al., 2011). This summary is aimed at understanding the mental mechanisms of aesthetic
emotions in the next section. Among the most ancient mind mechanisms are instinctual
drives. According to the Grossberg and Levine (1987) theory of drives and emotions,
instinctual drives can be modeled as internal sensors that measure vital bodily parameters
and indicate their safe ranges. If a parameter is outside its safe range, this information
is transmitted by neural signals to decision-making parts of the brain-mind initiating
appropriate decisions and behavior. These neural signals are perceived internally
as emotions motivating behavior. For example, we have sensors measuring the sugar
level in blood, when it is below a certain level we feel it as hunger and devote more
attention to finding food.
We perceive food and other objects by matching mental representations (memories) of
objects to patterns in sensor signals (Kosslyn, 1994). Mental representations are
organized into an approximate hierarchy (Grossberg, 1988) from perceptual elements,
to objects, to contexts and situations, and higher up to abstract concepts. The evolutionary
purpose of evolving the hierarchy is to enable abstract concepts. For example, the
representation “professor office” unifies lower-level representations of objects (chair,
desk, computer, books) into a unified concept of the office. Similarly, concepts of
offices, lecture halls, etc. are unified into a concept of “university,” “educational
system,” etc. A neural theory of how information-based pleasure arises from a network
involving association cortex, dorsolateral prefrontal cortex, orbitofrontal cortex,
striatum, opioids, and dopamine is outlined in Levine (2012). These detailed neural
mechanisms of generalized mental representations are not yet accounted for in a simplified
mathematical model of interacting emotions and cognition, which misses many details
(Pessoa, 2008, 2009), but it is sufficient for the purpose of this article.
The knowledge instinct, aesthetic emotions, and the beautiful
The Grossberg and Levine (1987) theory has been extended from bodily needs to learning
(Perlovsky, 2001, 2006, 2007, 2008a, 2013a,b; Perlovsky et al., 2011). Satisfaction
of bodily needs and our very survival requires understanding of the surrounding world.
Therefore, possibly the most important instinct (for humans and higher animals) is
an instinct for knowledge, driving learning, knowledge acquisition, and improvement
of mental representations for better correspondence to the world. A mathematical model
of the knowledge instinct has been discussed in the above references, and candidate
neural mechanisms are discussed in Levine and Perlovsky (2008), Levine (2012), Perlovsky
and Levine (2012). Similar to other instincts, satisfaction and dissatisfaction of
this instinct are perceived emotionally. These specific emotions related to knowledge
are called aesthetic emotions. An experimental proof of their existence has been given
in Perlovsky et al. (2010).
At lower levels of the mental hierarchy these emotional neural signals are below the
conscious threshold. We are not elated with aesthetic pleasure when recognizing an
everyday object. However, when we do not recognize familiar objects or situations
we immediately perceive these aesthetic emotions, we could become scared. This is
one of the standard tricks of thriller movies. At higher levels of the hierarchy we
may consciously perceive positive and negative aesthetic emotions. When one solves
a problem he or she has been thinking about for a long time, one often feels positive
emotions. This is not just a utilitarian emotion due to expecting a salary raise,
or being closer to finishing a dissertation. One also feels aesthetic emotions due
to satisfaction of the knowledge instinct. The “highest” aesthetic emotion of the
beautiful is felt when the knowledge instinct is satisfied at the highest levels of
the hierarchy.
Aesthetic emotions and contents of the “highest” representations
Mental representations at every hierarchical level, as discussed, have an evolutionary
purpose to unify lower level representations. The purpose of representations at the
top of the hierarchy is to unify one's entire life experience. This unity is felt
as the meaning of life; it is important for concentrating one's effort on the most
meaningful aims, it is essential for survival, and for achieving the highest goals.
For better understanding what this really means we have to go back and consider some
details of learning mechanisms.
Mental representations are not as clear and crisp as perceptions of objects. Consider
an object in front of your eyes, then close your eyes and imagine this object. The
imagination is not as clear as the perception with opened eyes. Imaginations are produced
by neural projections of representations to the visual cortex. Vagueness of imaginations
testifies to the vagueness of representations. Vagueness of representations has been
experimentally demonstrated in brain imaging experiments (Bar et al., 2006; Kveraga
et al., 2007; Perlovsky, 2009c). In addition, it has been shown that vaguer representations
are also less accessible to consciousness. It follows that abstract representations
higher up in the hierarchy, which are based on multiple vague lower level representations,
are vague and barely conscious. Their cognitive contents are mixed up with their emotional
contents.
However, we can consciously and in detail discuss the meaning of life, and argue for
or against its existence. Does this not contradict the above thesis about vagueness
and unconsciousness of higher representations? No. And the reason is that language
and cognition are separate systems; closely connected, but still separate. Even as
we cannot clearly differentiate them in our subjective consciousness, mathematical
models of interacting language, cognition, and emotions let us understand how they
interact (Perlovsky, 2009a,b, 2013c). Predictions of these models, in particular that
abstract concepts are vague, barely conscious, and are understood mostly due to language,
are confirmed experimentally (Binder et al., 2005; Price, 2012).
The separateness of language and cognition explains why it is difficult to agree about
the meaning of life and the aesthetic emotion of the beautiful. Because these ideas
are at the top of the mental hierarchy they are so important (Kant, 1790), for this
reason great thinkers for millennia have discussed them, cultures have developed them,
and language makes this accumulated knowledge accessible to everyone. But because
our subjective perceptions of these ideas are vague, doubts remain. There are no direct
subjective conscious confirmations of these cultural constructs, and so far scientific
evidence is limited. An important scientific challenge for the near future is to demonstrate
that the beautiful is an aesthetic emotion related to satisfaction of the knowledge
instinct at the top of the mental hierarchy. Cognitive representations near the top
of the hierarchy are vague and unconscious, their contents are “veiled” from our consciousness
by language, and therefore “measuring” emotions of the beautiful related to improving
these contents is difficult. The beautiful is a rare emotion because the meaning of
life is not learned like simple concepts. Most of us can hope for a rare experience
confirming that the meaning really exists; at such a moment one experiences emotions
of the beautiful.
Multiplicity of aesthetic emotions
Human emotional life is rich; we can experience a huge number of emotions, possibly
a continuum, not just a few for which we have words, like fear, sadness, joy, etc.
The English language has about 150 emotional words, and among these only between 5
and 20 are appreciably different (Petrov et al., 2012). The most advanced scales for
rating musical emotions still use emotional words for a few emotions (Zentner et al.,
2008). But emotional experiences are much richer than just the few emotions found
in English language. The diversity of emotions is most apparent when listening to
music; virtually every musical phrase produces a new emotion. What is the origin and
cognitive function of the multiplicity of emotions?
The knowledge instinct does not just maximize a single similarity between all representations
(knowledge) and all sensor patterns; it acts at every level of the hierarchy, maximizing
similarity between bottom-up and top-down signals. In addition it drives the mind
to resolve contradictions between knowledge and instinctual drives, and between various
elements of knowledge. These contradictions, known as cognitive dissonances (Festinger,
1957; Harmon-Jones et al., 2009), are perceived emotionally. There could be a degree
of contradiction between any pair of representation-concepts, and every contradiction
is potentially experienced as a separate emotion. People differ in perception of these
contradictions and in categorization of corresponding emotions. Still here could be
the foundation of a need for diverse emotions. Resolving cognitive contradictions
requires abilities for the conscious experience of a large number of emotions. They
are needed to maintain diverse knowledge in our minds and for the entire human evolution
(see more detailed discussions in Perlovsky, 2008b, 2010, 2012a,b, 2013a). These emotions
evolved along with language. As language vocalizations have been losing their emotionality,
a separate ability for highly emotional vocalization evolved into music; the still
remaining emotionality of language prosody is essential for the continued evolution
of languages and cultures (Perlovsky, 2013a,b). Some of these theoretical predictions
have been confirmed experimentally (Perlovsky et al., 2010, 2013; Bonniot-Cabanac
et al., 2012; Masataka and Perlovsky, 2012, 2013; Cabanac et al., 2013).
Future research challenges
Human emotional life is rich; we can experience a huge variety of emotions, most of
which are aesthetic. The immediate challenge is to develop experimental techniques
for measuring multiplicity of aesthetic emotions. One difficulty is that aesthetic
emotions might be subjective and change over time for each individual depending on
internal states and external circumstances (e.g., Chapin et al., 2010). Therefore,
averaging over individuals often leads to losing fine emotional differentiation and
to detecting the most ancient and robust aspects of emotions, valence and arousal.
Another difficulty is the use of emotional words in most experimental studies (e.g.,
Eerola and Vuoskoski, 2011); words are not suitable for measuring emotions inexpressible
in words, such as emotions in prosody and music, which evolved for a specific purpose
to complement the emotional limitations of language. Detecting a large number of aesthetic
emotions, in particular musical emotions, could be approached by subjective estimation
of the differences among musical excerpts, and then applying multidimensional scaling
to these measures.