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LeopoldS

PLoS ONE: Dominance, Politics, and Physiology: Voters' Testosterone Changes on the Nigh... - 1 views

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    what does this tell about male behaviour ?? :-)
LeopoldS

Mutations in DMRT3 affect locomotion in horses and spinal circuit function in mice : Na... - 0 views

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    isn't it strange that one single gene mutation can enable or disable such a complex behavioural pattern? anything to take advantage of in our gate study (Guido?)
Guido de Croon

Will robots be smarter than humans by 2029? - 2 views

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    Nice discussion about the singularity. Made me think of drinking coffee with Luis... It raises some issues such as the necessity of embodiment, etc.
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    "Kurzweilians"... LOL. Still not sold on embodiment, btw.
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    The biggest problem with embodiment is that, since the passive walkers (with which it all started), it hasn't delivered anything really interesting...
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    The problem with embodiment is that it's done wrong. Embodiment needs to be treated like big data. More sensors, more data, more processing. Just putting a computer in a robot with a camera and microphone is not embodiment.
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    I like how he attacks Moore's Law. It always looks a bit naive to me if people start to (ab)use it to make their point. No strong opinion about embodiment.
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    @Paul: How would embodiment be done RIGHT?
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    Embodiment has some obvious advantages. For example, in the vision domain many hard problems become easy when you have a body with which you can take actions (like looking at an object you don't immediately recognize from a different angle) - a point already made by researchers such as Aloimonos.and Ballard in the end 80s / beginning 90s. However, embodiment goes further than gathering information and "mental" recognition. In this respect, the evolutionary robotics work by for example Beer is interesting, where an agent discriminates between diamonds and circles by avoiding one and catching the other, without there being a clear "moment" in which the recognition takes place. "Recognition" is a behavioral property there, for which embodiment is obviously important. With embodiment the effort for recognizing an object behaviorally can be divided between the brain and the body, resulting in less computation for the brain. Also the article "Behavioural Categorisation: Behaviour makes up for bad vision" is interesting in this respect. In the field of embodied cognitive science, some say that recognition is constituted by the activation of sensorimotor correlations. I wonder to which extent this is true, and if it is valid for extremely simple creatures to more advanced ones, but it is an interesting idea nonetheless. This being said, if "embodiment" implies having a physical body, then I would argue that it is not a necessary requirement for intelligence. "Situatedness", being able to take (virtual or real) "actions" that influence the "inputs", may be.
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    @Paul While I completely agree about the "embodiment done wrong" (or at least "not exactly correct") part, what you say goes exactly against one of the major claims which are connected with the notion of embodiment (google for "representational bottleneck"). The fact is your brain does *not* have resources to deal with big data. The idea therefore is that it is the body what helps to deal with what to a computer scientist appears like "big data". Understanding how this happens is key. Whether it is the problem of scale or of actually understanding what happens should be quite conclusively shown by the outcomes of the Blue Brain project.
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    Wouldn't one expect that to produce consciousness (even in a lower form) an approach resembling that of nature would be essential? All animals grow from a very simple initial state (just a few cells) and have only a very limited number of sensors AND processing units. This would allow for a fairly simple way to create simple neural networks and to start up stable neural excitation patterns. Over time as complexity of the body (sensors, processors, actuators) increases the system should be able to adapt in a continuous manner and increase its degree of self-awareness and consciousness. On the other hand, building a simulated brain that resembles (parts of) the human one in its final state seems to me like taking a person who is just dead and trying to restart the brain by means of electric shocks.
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    Actually on a neuronal level all information gets processed. Not all of it makes it into "conscious" processing or attention. Whatever makes it into conscious processing is a highly reduced representation of the data you get. However that doesn't get lost. Basic, low processed data forms the basis of proprioception and reflexes. Every step you take is a macro command your brain issues to the intricate sensory-motor system that puts your legs in motion by actuating every muscle and correcting every step deviation from its desired trajectory using the complicated system of nerve endings and motor commands. Reflexes which were build over the years, as those massive amounts of data slowly get integrated into the nervous system and the the incipient parts of the brain. But without all those sensors scattered throughout the body, all the little inputs in massive amounts that slowly get filtered through, you would not be able to experience your body, and experience the world. Every concept that you conjure up from your mind is a sort of loose association of your sensorimotor input. How can a robot understand the concept of a strawberry if all it can perceive of it is its shape and color and maybe the sound that it makes as it gets squished? How can you understand the "abstract" notion of strawberry without the incredibly sensible tactile feel, without the act of ripping off the stem, without the motor action of taking it to our mouths, without its texture and taste? When we as humans summon the strawberry thought, all of these concepts and ideas converge (distributed throughout the neurons in our minds) to form this abstract concept formed out of all of these many many correlations. A robot with no touch, no taste, no delicate articulate motions, no "serious" way to interact with and perceive its environment, no massive flow of information from which to chose and and reduce, will never attain human level intelligence. That's point 1. Point 2 is that mere pattern recogn
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    All information *that gets processed* gets processed but now we arrived at a tautology. The whole problem is ultimately nobody knows what gets processed (not to mention how). In fact an absolute statement "all information" gets processed is very easy to dismiss because the characteristics of our sensors are such that a lot of information is filtered out already at the input level (e.g. eyes). I'm not saying it's not a valid and even interesting assumption, but it's still just an assumption and the next step is to explore scientifically where it leads you. And until you show its superiority experimentally it's as good as all other alternative assumptions you can make. I only wanted to point out is that "more processing" is not exactly compatible with some of the fundamental assumptions of the embodiment. I recommend Wilson, 2002 as a crash course.
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    These deal with different things in human intelligence. One is the depth of the intelligence (how much of the bigger picture can you see, how abstract can you form concept and ideas), another is the breadth of the intelligence (how well can you actually generalize, how encompassing those concepts are and what is the level of detail in which you perceive all the information you have) and another is the relevance of the information (this is where the embodiment comes in. What you do is to a purpose, tied into the environment and ultimately linked to survival). As far as I see it, these form the pillars of human intelligence, and of the intelligence of biological beings. They are quite contradictory to each other mainly due to physical constraints (such as for example energy usage, and training time). "More processing" is not exactly compatible with some aspects of embodiment, but it is important for human level intelligence. Embodiment is necessary for establishing an environmental context of actions, a constraint space if you will, failure of human minds (i.e. schizophrenia) is ultimately a failure of perceived embodiment. What we do know is that we perform a lot of compression and a lot of integration on a lot of data in an environmental coupling. Imo, take any of these parts out, and you cannot attain human+ intelligence. Vary the quantities and you'll obtain different manifestations of intelligence, from cockroach to cat to google to random quake bot. Increase them all beyond human levels and you're on your way towards the singularity.
Athanasia Nikolaou

Swarm behaviour modified by air/sea turbulence. - 2 views

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    Seems looking into turbulence is a source of innovative concepts. After the black hole modelling here was found a mathematical expression which describes "how turbulence can alter the shape and course of a flock of birds, a swarm of insects or even an algal bloom (phytoplankton!) and could help us to better predict them". More relevant for motions in air and sea, rather than space, where the fluids are dense enough to exhibit turbulence ; but what about a swarm moving in and exploring an exoplanet's atmosphere?
LeopoldS

IBM Patenting HAL-Like Stuffed Animal Toys - Slashdot - 3 views

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    should we buy this to educate behaviour at ACT meetings ... or only for our babies :-) 
Loretta Latronico Poulain

Behavioural Economics? Try Biological Economics - 2 views

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    The "Biological Economics" thing is a hyping (or misunderstanding) of the BBC article. The work it refers to seems to be an application of Complex Networks theory to financial networks. I found what appear to be some of the related publications: Andrew G. Haldane (April 2009) Rethinking the financial network (further references in the footnote to page 10) Erlend Nier, Jing Yang, Tanju Yorulmazer and Amadeo Alentorn (April 2008) Network models and financial stability Funny how these issues have been repeatedly popping up at the ACT in recent weeks. This connects both with the discussions on information spreading in networks, and with roadmaps' robustness.
nikolas smyrlakis

YouTube - Piano stairs - TheFunTheory.com - Rolighetsteorin.se - 0 views

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    Changing people's behaviour through fun. Looks a bit naive, but if there are any ideas http://www.thefuntheory.com there's an ongoing competition until the 15th of Nov.
ESA ACT

PLoS ONE: Order in Spontaneous Behavior - 0 views

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    Free will in (stupid) fruit flies - that will make swarm behaviour even more difficult...
ESA ACT

Towards Physarum Robots: Computing and Manipulating on Water Surface - 0 views

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    Behavioural analysis of computation capabilities of amoeba.
ESA ACT

The Mouse is in the Matrix... - 0 views

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    Jesus, this is the end point... A group of real neurons connected with a PC are controlling the behaviour of a virtual mouse, in a virtual maze, looking for virtual cheese!
ESA ACT

Cooperation of sperm in two dimensions: Synchronization, attraction, and aggregation th... - 0 views

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    Can we extract a new swarm behaviour out of the sperm: Sperm swimming at low Reynolds number have strong hydrodynamic interactions when their concentration is high in vivo or near substrates in vitro. The beating tails not only propel the sperm through a
ESA ACT

Iain Couzin homepage - 0 views

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    A biologist working on swarm behaviour of various types. Just gave a rather cool talk in Newton in the formation flying conference.
Marcus Maertens

Everything You Wanted to Know about Space Tourism but Were Afraid to Ask | Space Safety... - 3 views

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    "chances are that if 700 passengers are flown annually, up to 10 of them might not survive the flight in the first years of the operations." most remarkable also the question who is to blame if a dead and burned space tourist corps comes crashing down from the sky into your car.
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    How sure is the information that a human body would not completely burn / ablate during atmospheric re-entry? I am not aware of any material ground tests in a plasma wind tunnel confirming that human tissue would survive re-entry from LEO.
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    Since a steak would not even be cooked by dropping it from very high altitudes (http://what-if.xkcd.com/28/) I would doubt that a space tourists body would desintegrate by atmospheric re-entry.
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    Funny link, however, some things are not clear enough: 1. Ablation rate is unknown 2. What are the entry conditions? The link suggests that the steak is just dropped (no initial velocity). 3. What about the ballistic coefficient? 4. How would the entry body orientation? It would be a quite non-steady state configuration I guess with heavy accelerations. 5. How would vacuum exposure impact on the water in the body/steak and what would be the consequence for ablation behaviour? 6. Does surface chemistry play a role (not ablation, but catalysis)? My conclusion: the example with the steak is a funny and not so bad exercise, not more.
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    This calls for some we serious simulations by the Petkow code it seems to me ...
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    I still would need some serious input data...
Ma Ru

1st Symposium on Plant Signalling and Behaviour 2012 - 0 views

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    Something for the plant folks... assuming you have enough travel budget...
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    It is a nice conference indeed, I've been to many of the previous editions (they changed the name of the conference this year)...
Luke O'Connor

Scientists at MIT replicate brain activity with chip - 2 views

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    A new chip that simulates the behaviour of a synapse. 1 down, a few hundred trillion to go...
Luís F. Simões

Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study - MIT Pre... - 2 views

  • several papers recently proposed to explicitly encourage the diversity of the robot behaviors, rather than the diversity of the genotypes as in classic evolutionary optimization. Such an approach avoids the need to compute distances between structures and the pitfalls of the noninjectivity of the phenotype/behavior relation; however, it also introduces new questions: how to compare behavior?
  • In this paper, we review the main published approaches to behavioral diversity and benchmark them in a common framework.
  • The results show that fostering behavioral diversity substantially improves the evolutionary process in the investigated experiments, regardless of genotype or task.
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    paywall skipping: http://www.isir.upmc.fr/files/2011ACLI2061.pdf The most complete study I've seen so far on a new approach (Novelty Search) that has been gaining a lot of attention lately. And they even use parallel coordinates to visualize the results!! ;)
Luís F. Simões

A measure of individual role in collective dynamics : Scientific Reports : Nature Publi... - 4 views

  • Centrality measures describe a node's importance by its position in a network. The key issue obviated is that the contribution of a node to the collective behavior is not uniquely determined by the structure of the system but it is a result of the interplay between dynamics and network structure.
  • Here, we show that dynamical influence is a centrality measure able to quantify how strongly a node's dynamical state affects the collective behavior of a system, taking explicitly into account the interplay between structure and dynamics in complex networks.
LeopoldS

The bonobo genome compared with the chimpanzee and human genomes : Nature : Nature Publ... - 1 views

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    Look at this! Seems that we are as close to the bonobos as we are to the chimpanzees If only we resolved more to their ways of getting rid of stress (sex) more than using the chimpanzees' (aggression)...
Thijs Versloot

Wind farms based on schools of fish - 1 views

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    Vertical windmills based on fish fins and school swimming behaviour
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