Berliner Boersenzeitung - Monkey monikers: Like humans, marmosets give each other names

EUR -
AED 4.224055
AFN 73.034746
ALL 93.912556
AMD 423.509494
ANG 2.059295
AOA 1055.298283
ARS 1652.513696
AUD 1.637006
AWG 2.070333
AZN 1.954332
BAM 1.938266
BBD 2.317733
BDT 141.263308
BGN 1.944825
BHD 0.433739
BIF 3440.203335
BMD 1.150185
BND 1.474263
BOB 7.980803
BRL 5.855363
BSD 1.15079
BTN 108.762098
BWP 15.419509
BYN 3.185978
BYR 22543.626
BZD 2.314463
CAD 1.623049
CDF 2668.429339
CHF 0.921954
CLF 0.025886
CLP 1018.787718
CNY 7.772318
CNH 7.779921
COP 3950.885475
CRC 524.15827
CUC 1.150185
CUP 30.479903
CVE 109.670229
CZK 23.926206
DJF 204.410724
DKK 7.402752
DOP 67.400776
DZD 152.835402
EGP 57.40366
ERN 17.252775
ETB 182.160574
FJD 2.569169
FKP 0.858573
GBP 0.866384
GEL 3.042238
GGP 0.858573
GHS 12.994445
GIP 0.858573
GMD 83.963142
GNF 10095.747706
GTQ 8.771724
GYD 240.722336
HKD 9.014132
HNL 30.706716
HRK 7.532445
HTG 150.290417
HUF 345.802709
IDR 20414.173491
ILS 3.38297
IMP 0.858573
INR 108.47337
IQD 1506.74235
IRR 1581504.374934
ISK 143.002537
JEP 0.858573
JMD 182.003529
JOD 0.815503
JPY 184.332097
KES 148.972166
KGS 100.583404
KHR 4615.109336
KMF 488.828408
KPW 1035.166903
KRW 1738.924442
KWD 0.35437
KYD 0.959024
KZT 561.198313
LAK 25338.575324
LBP 102999.066812
LKR 385.525743
LRD 209.506002
LSL 18.627083
LTL 3.396197
LVL 0.695736
LYD 7.332452
MAD 10.63348
MDL 20.081337
MGA 4830.776941
MKD 61.059454
MMK 2415.32615
MNT 4116.951662
MOP 9.284806
MRU 46.099467
MUR 54.208496
MVR 17.782141
MWK 1996.721456
MXN 19.882477
MYR 4.675277
MZN 73.499243
NAD 18.635202
NGN 1563.239036
NIO 42.108388
NOK 11.060296
NPR 174.018253
NZD 1.990508
OMR 0.442244
PAB 1.15079
PEN 3.925018
PGK 5.046724
PHP 69.44013
PKR 320.0944
PLN 4.195495
PYG 7022.472113
QAR 4.187251
RON 5.183926
RSD 116.25041
RUB 83.930778
RWF 1711.47528
SAR 4.315372
SBD 9.272129
SCR 16.235003
SDG 690.685314
SEK 10.948358
SGD 1.474571
SHP 0.858729
SLE 28.467414
SLL 24118.808572
SOS 657.339385
SRD 42.938737
STD 23806.507286
STN 24.613959
SVC 10.069
SYP 127.132361
SZL 18.629409
THB 37.420695
TJS 10.667696
TMT 4.037149
TND 3.349052
TOP 2.76937
TRY 53.420578
TTD 7.817282
TWD 36.298116
TZS 3019.239041
UAH 51.538512
UGX 4257.48521
USD 1.150185
UYU 46.460109
UZS 13807.970761
VES 685.552123
VND 30279.77031
VUV 136.859249
WST 3.151221
XAF 650.07617
XAG 0.016846
XAU 0.000268
XCD 3.108433
XCG 2.07402
XDR 0.809382
XOF 649.854731
XPF 119.331742
YER 274.462925
ZAR 18.840732
ZMK 10353.037051
ZMW 20.339997
ZWL 370.359101
  • RBGPF

    -1.7300

    61.14

    -2.83%

  • CMSC

    -0.0450

    22.32

    -0.2%

  • RYCEF

    -0.1600

    18.43

    -0.87%

  • RELX

    -0.7900

    32.01

    -2.47%

  • VOD

    -0.3600

    14.53

    -2.48%

  • NGG

    -1.6000

    80.68

    -1.98%

  • AZN

    -0.8200

    177.89

    -0.46%

  • RIO

    -3.0700

    102.67

    -2.99%

  • GSK

    -0.0700

    52.15

    -0.13%

  • BTI

    -1.8900

    59.49

    -3.18%

  • BP

    -1.0100

    40.14

    -2.52%

  • CMSD

    0.0300

    22.29

    +0.13%

  • BCE

    -0.5400

    23.28

    -2.32%

  • BCC

    -0.7500

    70.81

    -1.06%

  • JRI

    -0.1900

    12.62

    -1.51%

Monkey monikers: Like humans, marmosets give each other names
Monkey monikers: Like humans, marmosets give each other names / Photo: SEBASTIEN BOZON - AFP/File

Monkey monikers: Like humans, marmosets give each other names

Naming others is considered a marker of highly advanced cognition in social animals, previously observed only in humans, bottlenose dolphins and African elephants.

Text size:

Marmoset monkeys have now joined this exclusive club, according to a new study published in Science on Thursday.

The diminutive primates use loud, high-pitched calls to assign each other "vocal labels," as shown in research conducted by a team at the Hebrew University of Jerusalem.

"We are very interested in social behavior because we think that social behavior is essentially what drove us humans to be so special compared to other animals," senior author David Omer told AFP.

"We don't run fast, we don't fly, we don't excel in anything else besides being social and all our achievements as a society are our societal achievements."

Marmosets are ideal subjects to study the evolution of social behavior and language in humans, he explained, because they exhibit similar traits, living in small monogamous family groups of six to eight individuals that cooperatively rear their young.

Led by graduate student Guy Oren, the researchers recorded natural conversations between pairs of marmosets separated by a visual barrier, as well as interactions between the monkeys and a computer system that played back pre-recorded calls.

They discovered that marmosets use "phee calls" -- very high-pitched vocalizations, as loud as power tools -- to address one another. Notably, the monkeys could recognize when such calls were directed at them and were more likely to respond when addressed by their name.

- Machine learning advances -

The ten marmosets they tested came from three separate families, and the research also revealed that members within a family group used similar sound features to code different names, akin to dialects or accents in humans. This held true even for adult marmosets that weren't related by blood, suggesting they learned from others within the family group.

Marmosets are relatively distant relatives of humans. We last shared a common ancestor around 35 million years ago, while the split between ourselves and chimpanzees could have happened 5-7 million years ago.

Rather than genetic proximity, Omer attributes the acquisition of vocal labels by marmosets to "convergent evolution," or the idea that they evolved similar traits in response to comparable environmental challenges.

For marmosets, vocal labeling may have been crucial for maintaining social bonds and group cohesion in the dense rainforests of South America, where visibility is often limited.

How and when humans first began talking is a matter of debate, but until recently many scientists had dismissed the idea we could look to other primates for clues. Omer stressed the latest research was yet another blow to that long-standing opinion.

"We can still learn a lot from non-human primates about the evolution of language in humans," he said.

The team's statistical analysis of the marmosets' calls was made possible by recent advancements in computational power and machine learning, he added. Looking ahead, one exciting avenue for future research could be leveraging AI to further decipher the content of marmoset conversations.

(K.Lüdke--BBZ)