[Paleopsych] Intelligent Bacteria
waluk at earthlink.net
Sat Apr 23 00:55:34 UTC 2005
Bacteria live in groups, communicate and thus must possess
intelligence. Genes are on one level but by not including the meme
portion of behavior, one is only able to understand a portion of what
intelligence actually is.
Steve Hovland wrote:
>Our own intelligence is mediated by neuropeptides
>and enzymes, so if we find those in bacteria,
>we find intelligence...
>From: Buck, Ross [SMTP:ross.buck at uconn.edu]
>Sent: Friday, April 22, 2005 8:28 AM
>To: The new improved paleopsych list
>Subject: RE: [Paleopsych] Intelligent Bacteria
>From: paleopsych-bounces at paleopsych.org
>[mailto:paleopsych-bounces at paleopsych.org] On Behalf Of
>Thrst4knw at aol.com
>Sent: Monday, April 18, 2005 3:14 PM
>To: paleopsych at paleopsych.org
>Cc: ToddStark at aol.com; HowlBloom at aol.com
>Subject: [Paleopsych] Intelligent Bacteria
>For the most primitive beings in the web of life, some researchers
>claim, "simple" might not mean "stupid."
>Posted April 18, 2005
>Special to World Science
>Bacteria are by far the simplest things alive, at least among things
>generally agreed on as being alive. Next to one of these single-celled
>beings, one cell of our bodies looks about as complex as a human does
>compared to a sponge.
>A colony of Paenibacillus dendritiformis bacteria, which some
>researchers say can organize themselves into different types of
>extravagant formations to maximize food intake for given conditions.
>According to some, this reflects a bacterial intelligence. (Courtesy
>Eshel Ben-Jacob <http://star.tau.ac.il/~inon/pictures/pictures.html> ,
>Tel Aviv University, Israel)
>Yet the humble microbes may have a rudimentary form of intelligence,
>some researchers have found.
>The claims seem to come as a final exclamation point to a long series of
>increasingly surprising findings of sophistication among the microbes,
>including apparent cases of cooperation and even altruism.
>But there is no clear measurement or test that scientists can use, based
>on the behavior alone, to determine whether it reflects intelligence.
>Some researchers, though, have found a systematic way of addressing the
>question and begun looking into it. This method involves focusing not so
>much on the behavior itself as the nuts and bolts behind it-a complex
>system of chemical "signals" that flit both within and among bacteria,
>helping them decide what to do and where to go.
>Researchers have found that this process has similarities to a type of
>human-made machine designed to act as a sort of simplified brain. These
>devices solve some simple problems in a manner more human-like than
>The devices, called neural networks, also run on networks of signals
>akin to those of the bacteria. The devices use the networks to "learn"
>tasks such as distinguishing a male from a female in photographs-typical
>sorts of problems that are easy for humans but hard for traditional
>The similarities in the bacterial and neural network signaling systems
>are far more than superficial, wrote one researcher, Klaas J.
>Hellingwerf, in the April issue of the journal Trends in Microbiology.
>He found that the bacterial system contains all the important features
>that make neural networks work, leading to the idea that the bacteria
>have "a minimal form of intelligence."
>Bacterial signaling possesses all four of the key properties that neural
>network experts have identified as essential to make such devices work,
>Hellingwerf elaborated. The only weak link in the argument, he added, is
>that for one of those properties, it's not clear whether bacteria
>exhibit it to a significant extent. This may be where future research
>should focus, he wrote.
>Cooperation and altruism
>The comparison of bacterial signaling with neural networks is not the
>only evidence that has nudged researchers closer to the concept that
>bacteria might possess a crude intelligence-though few scientists would
>go as far as to use that word.
>One of the other lines of evidence is a simple examination of bacterial
>This behavior is strikingly versatile, researchers have found in recent
>years; bacteria can cope with a remarkably wide range of situations by
>taking appropriate actions for each. For instance, the deadly
>Pseudomonas aeruginosa can make a living by infecting a wide variety of
>animal and plant tissues, each of which is a very different type of
>environment in which to live and find sustenance.
>Furthermore, bacteria cooperate: they can group together to take on
>tasks that would be difficult or impossible for one to handle alone. In
>a textbook example, millions of individuals of the species Myxococcus
>xanthus can bunch up to form a "predatory" colony that moves and changes
>direction collectively toward possible food sources.
>Some examples of bacterial cooperation have even led researchers to
>propose that bacteria exhibit a form of altruism. For instance, some
>strains of Escherichia coli commit suicide when infected by a virus,
>thereby protecting their bacterial neighbors from infection.
>But until recently, few or no scientists had seriously suggested these
>behaviors reflected intelligence.
>For instance, bacterial "altruism" may be a simple outcome of evolution
>that has nothing to do with concern for the welfare of others, wrote the
>University of Bonn's Jan-Ulrich Kreft in last August's issue of the
>research journal Current Biology. Thus he didn't suggest that any
>process akin to thinking was at work.
>But one thing that ties these various behaviors together is that they
>all operate as a result of signaling mechanisms like the ones studied by
>Mousetraps, learning and language
>These mechanisms work in a way somewhat akin to the American board game
>Mousetrap. In this game, you try to catch your opponent's plastic mouse
>using a rambling contraption that starts working when you turn a crank.
>This rotates gears, that push a lever, that moves a shoe, that kicks a
>bucket, that sends a ball down stairs and-after several more
>hair-raising steps of the sort-drops a basket on the mouse.
>Molecular signals inside cells work through somewhat similar chain
>reactions, except the pieces involved are molecules.
>A typical way these molecular chain reactions work is that small
>clusters of atoms, called phosphate groups, are passed among various
>molecules. One example of what such a system could accomplish: a bit of
>food brushing against the cell could start a series of events that lead
>inside the cell and activate genes that generate the chemicals that
>digest the food.
>A single bacterium can contain dozens of such systems operating
>simultaneously for different purposes. And compared to the board game,
>the cellular systems have additional features that make them more
>complicated and versatile.
>For instance, some of these bacterial contraptions, when set in motion,
>lead to the formation of extra copies of themselves. These tricks can
>lead to phenomena with aspects of learning and language.
>For example, a shortage of a nutrient in a bacterium's neighborhood can
>activate a system that makes the microbe attract the nutrient toward
>itself more strongly. The system also produces extra copies of itself,
>researchers have found. Thus if shortage recurs later, the bacterium is
>better prepared. This is a form of "learning," Hellingwerf and
>colleagues wrote in the August, 2001 issue of the Journal of
>Brain cells can operate in an analogous way: a brain cell can grow more
>sensitive to a signal that it receives repeatedly, resulting in a
>reinforcement of signaling circuits and learning.
>The bacterial versions of "mousetrap" have other tricks as well. For
>instance, some of them seem to contain components influenced by not just
>one stimulus, but by two or more. Thus the chain reactions merge. The
>component receiving these stimuli adds the strength of each to give a
>response whose strength is proportional to the sum.
>Although the full complexities of bacterial signaling are far from
>understood, many researchers believe the systems helps bacteria to
>For instance, some bacteria, when starving, emit molecules that serve as
>stress signals to their neighbors, write Eshel Ben-Jacob of Tel Aviv
>University and colleagues in last August's issue of Trends in
>Microbiology. The signals launch a process in which the group can
>transform itself to create tough, walled structures that wait out tough
>times to reemerge later.
>This transformation involves a complex dialogue that reveals a "social
>intelligence," the researchers added. Each bacterium uses the signals to
>assess the group's condition, compares this with its own state, and
>sends out a molecular "vote" for or against transformation. The majority
>Collectively, the researchers wrote, "bacteria can glean information
>from the environment and from other organisms, interpret the information
>in a 'meaningful' way, develop common knowledge and learn from past
>experience." Some can even collectively change their chemical "dialect"
>to freeze out "cheaters" who exploit group efforts for their own selfish
>interest, the researchers claimed.
>Not everyone is convinced by these claims.
>Rosemary J. Redfield of the University of British Columbia, Vancouver,
>has argued that the supposed communication molecules actually exist
>mainly to tell bacteria how closed-in their surroundings are, which is
>useful information to them for various reasons.
>To properly assess if bacterial signals constitute intelligence, whether
>of a social or individual brand, Hellingwerf and some other researchers
>work from the inside out.
>Rather than focusing on the behaviors, which are open to differing
>interpretations, they focus on the systems of interactions followed by
>the molecules. These systems, it is hoped, have distinct properties that
>can be measured and compared against similar interactions in known
>For instance, if these bacterial systems operate similarly to networks
>in the brain, it would provide a weighty piece of evidence in favor of
>the bacterial intelligence.
>Hellingwerf has set himself a more modest goal, comparing bacterial
>signaling not to the brain, but to the brain-like, human-made neural
>network devices. Such an effort has a simple motivation. Demonstrating
>that bacterial signaling possesses every important feature of neural
>networks would suggest at least that microbial capabilities rival those
>of devices with proven ability to tackle simple problems using known
>rules of brain function-rather than robot-like calculations, which are
>To understand how one could do such a comparison requires a brief
>explanation of how neural networks work, and how they differ from
>Computers are good at following precise instructions, but terrible at
>even simple, common-sense tasks that lack definite rules, like the
>recognition of the difference between male and female.
>Neural networks, like humans, can do this because they are more
>flexible, and they learn-even though they can be built using computers.
>They are a set of simulated "brain cells" set to pass "signals" among
>themselves through simulated "connections."
>Some information that can be represented as a set of numbers, such as a
>digitized photograph, is fed to a first set of "cells" in such a way
>that each cell gets a number. Each cell is then set to "transmit" all,
>part or none of that number to one or more other cells. How big a
>portion of the number is passed on to each, depends on the simulated
>"strength" of the connections that are programmed into the system.
>Each of those cells, in turn, are set to do something with the numbers
>they receive, such as add them or average them-and then transmit all or
>part of them to yet another cell.
>Numbers ricochet through the system this way until they arrive at a
>final set of "output" cells. These cells are set to give out a final
>answer-based on the numbers in them-in the form of yet another number.
>For example, the answer could be 0 for male, 1 for female.
>Such a system, when new, will give random answers, because the
>connections are initially set at random. However, after each attempt at
>the problem, a human "tells" the system whether it was right or wrong.
>The system is designed to then change the strength of the connections to
>improve the answer for the next try.
>To do this, the system calculates to what extent a change in strength of
>each connection previously contributed to giving a right or wrong
>answer. This information tells the system how to change the strengths to
>give better results. Over many attempts, the system's accuracy gradually
>improves, often reaching nearly human-like performance on a given task.
>Such systems not only work quite well for simple problems, many
>researchers believed they capture all the key features of real brain
>cells, though in a drastically simplified way.
>The devices also have similarities to the messaging systems in bacteria.
>But how deep are the resemblances? To answer this, Hellingwerf looked at
>four properties that neural-network experts have identified as essential
>for such devices to work. He then examined whether bacterial signaling
>fits each of the criteria.
>The four properties are as follows.
>First, a neural network must have multiple sub-systems that work
>simultaneously, or "in parallel." Neural networks do this, because
>signals follow multiple pathways at once, in effect carrying out
>multiple calculations at once. Traditional computers can't do this; they
>conduct one at a time. Bacteria do fit the standard, though, because
>they can contain many messaging networks acting simultaneously,
>Second, key components of the network must carry out logical operations.
>This means, in the case of a neural network, that single elements of the
>network combine signals from two or more other elements, and pass the
>result on to a third according to some mathematical rule. Regular
>computers also have this feature. Bacteria probably do too, Hellingwerf
>argues, based on the way that parts of their signaling systems add up
>inputs from different sources.
>The third property is "auto-amplification." This describes the way some
>network elements can boost the strength of their own interactions.
>Hellingwerf maintains that bacteria show this property, as when, for
>example, some of their signaling systems create more copies of
>themselves as they run.
>The fourth property is where the rub lies for bacteria. This feature,
>called crosstalk, means that the system must not consist just of
>separate chain reactions: rather, different chain reactions have to
>connect, so that the way one operates can change the way another runs.
>Crosstalk is believed to underlie an important form of memory called
>associative memory, the ability to mentally connect two things with no
>obvious relationship. A famous example is the Russian scientist Ivan
>Pavlov's dog, who drooled at the ring of a bell because experience had
>taught him food invariably followed the sound.
>Crosstalk has been found many times in bacteria, Hellingwerf wrote-but
>the strength of the crosstalk "signals" are hundreds or thousands of
>times weaker than those that follow the main tracks of the chain
>reactions. Moreover, "clear demonstrations of associative memory have
>not yet been detected in any single bacterial cell," he added, and this
>is an area ripe for further research. If bacteria can indeed
>communicate, it seems they may be holding quite a bit back from us.
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