I have argued this month that the ultimate source of LFW is the human capacity to imagine virtually anything and then enact it. But how is this awesome engine of novelty and creativity, rooted in spontaneous and unprecedented recombinations of existing representations and operations, realized in the brain?
Capacities that set humans apart in kind, not just in degree, from other animals include capacities for art, music, analogical reasoning, abstract thought, the spontaneous generation and use of symbols, and the ability to reason abstractly, as well as the ability to manipulate symbols recursively and syntactically. I have developed a theory (http://www.dartmouth.edu/~petertse/TseMoralityChapter.pdf ) that all these modes of cognition share a common root cause. My central claim is that neuronal circuits that were functionally distinct and modularly encapsulated in our chimp-like ancestors came to interact through a new type of attentional binding. Cross-modular binding, where operators previously limited to operands within a given module could now operate over the operands of other modules, is, I argue, the root cause of uniquely human modes of cognition.
Although animals can learn arbitrary associations, they are not using symbols as we do. Beyond lacking syntax, they are not typically able to effortlessly assign or reassign an arbitrary meaning to a given symbol once an association has been learned. It is this arbitrary and flexible relationship between a symbol and its referent(s) that is the hallmark of true symbolic thought, setting it apart from mere association.
A symbol has various aspects. One is the perceived sign, which can stand for one or more referents. A sign’s referent(s) can belong to many different types of mental representations, which themselves need not be signs. If the mental representation is one of an object (or type of object) in the outside world, then the sign symbolizes that thing in the world. When a sign has a referent (i.e., a meaning) for a particular perceiver, it is a symbol for that perceiver. A symbol is assumed to possess two key defining properties: (1) a symbol is a mental representation that can be stored in long-term memory or held in working memory that can stand for one or more arbitrary stored or online representations; (2) a symbol can be flexibly remapped to an existing or new referent without a need for many trials of learning to build up an association. In other words a symbol is arbitrary. Its meaning is not based on the likelihood or degree of co-occurrence between a sign and its referent. It is simply assigned.
Only humans, as far as we know, possess the capacity to process symbols in the sense of (2). A mind capable of (1) but incapable of (2) can learn complex associations between an object or event and some referent, but the association is not truly symbolic. Classical conditioning is an example of an ancient form of associational learning. In contrast, a three-year-old child can pretend that a block is a truck and then, a moment later, pretend that it is a monster. This capacity to instantly remap the referent of a representation maintained and manipulated in working memory (a WMR) is unique to humans and is at the heart of why our cognition is truly symbolic. Symbols and symbolic thought are inherently attentional in nature, because they involve (now or involved in the past) the binding of a sign with arbitrary referents, whether temporarily in working memory or more durably in long-term memory. With unintentional repetition or intentional practice, arbitrary representations can become bound together in memory. This is the relatively slow process of associative learning that humans share with other animals. With attention, however, arbitrary representations can become bound together in working memory after one instance. Attentionally bound symbols and referents can be “chunked” and stored as a unit in long-term memory, recalled as a unit, and later processed without the need for further attention. However, at the stage of encoding, one-shot binding of symbol and referent occurs because symbols and referents occupy a common WMR.
Many nonhuman animals appear to have the capacity to monitor, select, ignore, track, and otherwise attend to objects and therefore must have analogs of human WMRs in their cognitive architecture. A dog’s WMR of a tree, for instance, presumably contains color and shape information represented in different neural populations or maps, as well as other information that the dog has learned to associate with this particular tree or trees in general. All types of information, however, are about the tree. A dog’s WMR is encapsulated in the sense that it cannot contain information about irrelevant objects or events. WMR encapsulation presumably helps animals survive, because irrelevant information is not represented, permitting the animal to remain undistracted and unconfused by matters irrelevant to survival and the matter at hand.
Human WMRs, unlike animal WMRs, can contain any information which can be attended or downloaded from memory into the WMR. As such, human WMRs can enact truly cross-modular binding. Because any representation can be downloaded into the WMR of a tree, a tree can be taken to stand for “my friend Bob” if Bob and the tree occupy the same WMR. This requires tagging the tree component of the WMR as real (i.e., pointing to the world) and the Bob component as not real or referential (i.e., pointing to a representation that need not be in the world). In the absence of such a tag, a person might take a tree to really be Bob. Cognitive modularity and encapsulation protect animal minds from cognitive “noise.” That humans are prone to misrepresentation, psychosis, delusion, and hallucination is the price we pay for the cognitive freedom afforded by demodularization.
Whereas animals seem to be capable of internally modeling events that might happen or might have happened, humans go beyond this “literal” capacity to one of imagination that can model events and objects that could never happen and could never exist in the real world. Imagination became possible when arbitrary contents and operators could be downloaded to a common WMR. For example, the representation of wings could be downloaded into the WMR of a tree. The operator that places one object onto another could then be accessed to create a new representation of a tree with wings. A human WMR of a tree can contain everything that a dog’s would, plus information that has nothing to do with this particular tree or any tree. For example, a man looking at a tree can simply volitionally decide that it stands for his wife. This is accomplished by downloading representations of his wife into the WMR holding the tree information.
Analogy emerges because this downloading to the present WMR need not take place in a conscious manner or a manner dictated by the plans or goals of a central executive. Because of automatic cross-modular binding, he may see a tree standing next to a bush, and this may remind him of his wife and son because of their similar size relationships. This happened in a stimulus-driven manner because similarity in one domain automatically triggered activation on other maps encoded in terms of the same relationships, and these new activations, in this case corresponding to representations of his wife and son, were automatically downloaded to the WMR containing the representations of the tree and bush, which then could function as symbols of his wife and son. He might say that the tree and bush remind him of his wife and son, but this fact became available to his conscious report after the link between disparate representations had been made. Thus, symbols and symbolic relationships, although inherently attentional in nature, because initially mediated by the attentional construct of a WMR, are not necessarily volitionally invoked.
A dog cannot be reminded of anything by a tree and a bush other than things that have a direct link in its experience or in the world with a tree and a bush. Animal cognition, lacking any basis for symbolism, reminding, or metaphor, is inherently literal.
A key consequence of the emergence of cross-modular binding was that operators could be bound with new types of operands, such that operators from one module could operate on the operands of previously encapsulated modules. Nestable motoric operators could operate upon symbols rather than just physical actions, giving rise to the possibility of syntax. Another example would be that operators designed to decode the emotional content of vocalizations could now operate over nonvocal sounds, giving rise to the possibility of music. And basic aspects of art and human aesthetics may have emerged as a consequence of operators that became “disencapsulated” or “universalized.” For example, operators that evolved to discern genetic health in a potential mate could now operate over visual scenes, which could then attain the status of eroticism or beauty, although obviously a scene cannot be a mate.
The essence of abstraction is the ability to detect patterns that transcend immediate sensory input. Pattern extraction is common to the perceptual systems of many animals, but in nonhuman animals, pattern extraction may be modularly isolated from the other contents of cognition and, thus, domain specific. Once modularity broke down because of cross-modular binding, the computations underlying pattern extraction and recognition could be applied to data that were not perceptual in nature. An example of perceptual pattern recognition that became abstract pattern recognition in humans involves the inference of causality. Other animals may be able to detect patterns of cause and effect in the flow of sensory input, because they carry out computations over sensory input that evolved specifically to solve this task. Because animals seem to be limited to causal pattern extraction from the current flow of sensory input, they may be limited to detecting physical causal relations that arise from spatiotemporal contiguity and simultaneity. In the human lineage, however, the computations dedicated to the extraction of patterns of causal relation in the sensory domain came to operate over the contents of other modules, permitting the extraction of patterns of causal relation that transcended spatiotemporal contiguity. For example, once causal relations could be detected in the contents of memory, patterns of cause and effect could be recognized that transcended the here and now. One could become aware of a time before one’s life or after one’s death. One could entertain the fact of one’s impending death. Simply put, whereas other animals can “connect the dots” perceptually, they cannot do so abstractly. Humans, in contrast, came to connect the dots to such an extent that hidden causes such as invisible beings and forces were invoked to explain events. Once patterns could be detected in information that was not perceptual, the human mind gained the capacity to become “unglued” from the here and now, free to connect the dots in novel ways beyond the here and now.
In sum, unconstrained imagination is the ultimate source of human freedom. It evolved as a consequence of the demodularization of neural circuitry associated with volitional attentional operations over operands downloadable into a mental workspace where, virtually, anything is possible.
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