The Phi-Bot: A Robot Controlled by a Slime Mould View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2009

AUTHORS

Soichiro Tsuda , Stefan Artmann , Klaus-Peter Zauner

ABSTRACT

Information processing in natural systems radically differs from current information technology. This difference is particularly apparent in the area of robotics, where both the organisms and artificial devices face a similar challenge: the need to act in real time in a complex environment and to do so with computing resources severely limited by their size and power consumption. Biological systems evolved enviable computing capabilities to cope with noisy and harsh environments and to compete with rivalling life forms. Information processing in biological systems, from single-cell organisms to brains, directly utilises the physical and chemical processes of cellular and intracellular dynamics, whereas that in artificial systems is, in principle, independent of any physical implementation. The formidable gap between artificial and natural systems in terms of information processing capability [1] motivates research into biological modes of information processing. Hybrid artifacts, for example, try to overcome the theoretic and physical limits of information processing in solid-state realisations of digital von Neumann machines by exploiting the self-organisation of naturally evolved systems in engineered environments [2, 3]. This chapter presents a particular unconventional computing system, the Φ-bot, whose control is based on the behaviour of the true slime mould Physarum polycephalum. The second section gives a short introduction to the information-processing capabilities of this organism. The third section describes the two generations of the Φ-bot built so far. To discuss information-theoretic aspects of this robot, it is useful to sketch the concept of bounded computability that relates generic traits of information-processing systems with specific physico-chemical constraints on the realisation of such systems in different classes of computational media. This is done in the fourth section. The concluding section gives an outlook on engineering as well as foundational issues that will be important for the future development of the Φ-bot. More... »

PAGES

213-232

Book

TITLE

Artificial Life Models in Hardware

ISBN

978-1-84882-529-1
978-1-84882-530-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-84882-530-7_10

DOI

http://dx.doi.org/10.1007/978-1-84882-530-7_10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000489030


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Southampton", 
          "id": "https://www.grid.ac/institutes/grid.5491.9", 
          "name": [
            "School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsuda", 
        "givenName": "Soichiro", 
        "id": "sg:person.01016543352.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016543352.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Friedrich Schiller University Jena", 
          "id": "https://www.grid.ac/institutes/grid.9613.d", 
          "name": [
            "Frege Centre for Structural Sciences, Friedrich-Schiller-University, Zw\u00f6tzengasse 9, 07737, Jena, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Artmann", 
        "givenName": "Stefan", 
        "id": "sg:person.016115013155.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016115013155.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southampton", 
          "id": "https://www.grid.ac/institutes/grid.5491.9", 
          "name": [
            "School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zauner", 
        "givenName": "Klaus-Peter", 
        "id": "sg:person.0757047771.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757047771.73"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12304-008-9037-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004492529", 
          "https://doi.org/10.1007/s12304-008-9037-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jtbi.1996.0030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005804628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9780470696590.ch2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006991453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5193(86)80125-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007129255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0303-2647(99)00080-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008763100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01276856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013505366", 
          "https://doi.org/10.1007/bf01276856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01276856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013505366", 
          "https://doi.org/10.1007/bf01276856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10408430590918387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016233050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-73554-0_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020581836", 
          "https://doi.org/10.1007/978-3-540-73554-0_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-73554-0_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020581836", 
          "https://doi.org/10.1007/978-3-540-73554-0_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0302-4598(96)05064-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026219950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5193(88)80235-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027133453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1616-8984(20021)10:1<33::aid-seup33>3.0.co;2-#", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028450344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1751-1097.1996.tb01847.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031028997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00289234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037388395", 
          "https://doi.org/10.1007/bf00289234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00289234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037388395", 
          "https://doi.org/10.1007/bf00289234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2004.2856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040665399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00582358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044320425", 
          "https://doi.org/10.1007/bf00582358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00582358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044320425", 
          "https://doi.org/10.1007/bf00582358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/9783110810592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045803682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01281018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048206370", 
          "https://doi.org/10.1007/bf01281018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01281018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048206370", 
          "https://doi.org/10.1007/bf01281018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biosystems.2004.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051828383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.100.018101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060752642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.100.018101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060752642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.87.078102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060823567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.87.078102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060823567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0129626407003150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062907373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1143/ptp.100.235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063127512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080825056", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081212960", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4324/9781351297165-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107788848"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009", 
    "datePublishedReg": "2009-01-01", 
    "description": "Information processing in natural systems radically differs from current information technology. This difference is particularly apparent in the area of robotics, where both the organisms and artificial devices face a similar challenge: the need to act in real time in a complex environment and to do so with computing resources severely limited by their size and power consumption. Biological systems evolved enviable computing capabilities to cope with noisy and harsh environments and to compete with rivalling life forms. Information processing in biological systems, from single-cell organisms to brains, directly utilises the physical and chemical processes of cellular and intracellular dynamics, whereas that in artificial systems is, in principle, independent of any physical implementation. The formidable gap between artificial and natural systems in terms of information processing capability [1] motivates research into biological modes of information processing. Hybrid artifacts, for example, try to overcome the theoretic and physical limits of information processing in solid-state realisations of digital von Neumann machines by exploiting the self-organisation of naturally evolved systems in engineered environments [2, 3]. This chapter presents a particular unconventional computing system, the \u03a6-bot, whose control is based on the behaviour of the true slime mould Physarum polycephalum. The second section gives a short introduction to the information-processing capabilities of this organism. The third section describes the two generations of the \u03a6-bot built so far. To discuss information-theoretic aspects of this robot, it is useful to sketch the concept of bounded computability that relates generic traits of information-processing systems with specific physico-chemical constraints on the realisation of such systems in different classes of computational media. This is done in the fourth section. The concluding section gives an outlook on engineering as well as foundational issues that will be important for the future development of the \u03a6-bot.", 
    "editor": [
      {
        "familyName": "Adamatzky", 
        "givenName": "Andrew", 
        "type": "Person"
      }, 
      {
        "familyName": "Komosinski", 
        "givenName": "Maciej", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-84882-530-7_10", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-1-84882-529-1", 
        "978-1-84882-530-7"
      ], 
      "name": "Artificial Life Models in Hardware", 
      "type": "Book"
    }, 
    "name": "The Phi-Bot: A Robot Controlled by a Slime Mould", 
    "pagination": "213-232", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000489030"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-84882-530-7_10"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0253d5f7b37d5cb06a1cf66213c78dc159910b6211e33141ed70942dd653d9a4"
        ]
      }
    ], 
    "publisher": {
      "location": "London", 
      "name": "Springer London", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-84882-530-7_10", 
      "https://app.dimensions.ai/details/publication/pub.1000489030"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000353_0000000353/records_45335_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-1-84882-530-7_10"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-84882-530-7_10'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-84882-530-7_10'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-84882-530-7_10'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-84882-530-7_10'


 

This table displays all metadata directly associated to this object as RDF triples.

166 TRIPLES      23 PREDICATES      52 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-84882-530-7_10 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N279cd33e52c14c0f9fc5c710783221e7
4 schema:citation sg:pub.10.1007/978-3-540-73554-0_6
5 sg:pub.10.1007/bf00289234
6 sg:pub.10.1007/bf00582358
7 sg:pub.10.1007/bf01276856
8 sg:pub.10.1007/bf01281018
9 sg:pub.10.1007/s12304-008-9037-x
10 https://app.dimensions.ai/details/publication/pub.1080825056
11 https://app.dimensions.ai/details/publication/pub.1081212960
12 https://doi.org/10.1002/1616-8984(20021)10:1<33::aid-seup33>3.0.co;2-#
13 https://doi.org/10.1002/9780470696590.ch2
14 https://doi.org/10.1006/jtbi.1996.0030
15 https://doi.org/10.1016/0302-4598(96)05064-7
16 https://doi.org/10.1016/j.biosystems.2004.05.008
17 https://doi.org/10.1016/s0022-5193(86)80125-4
18 https://doi.org/10.1016/s0022-5193(88)80235-2
19 https://doi.org/10.1016/s0303-2647(99)00080-5
20 https://doi.org/10.1080/10408430590918387
21 https://doi.org/10.1098/rspb.2004.2856
22 https://doi.org/10.1103/physrevlett.100.018101
23 https://doi.org/10.1103/physrevlett.87.078102
24 https://doi.org/10.1111/j.1751-1097.1996.tb01847.x
25 https://doi.org/10.1142/s0129626407003150
26 https://doi.org/10.1143/ptp.100.235
27 https://doi.org/10.1515/9783110810592
28 https://doi.org/10.4324/9781351297165-10
29 schema:datePublished 2009
30 schema:datePublishedReg 2009-01-01
31 schema:description Information processing in natural systems radically differs from current information technology. This difference is particularly apparent in the area of robotics, where both the organisms and artificial devices face a similar challenge: the need to act in real time in a complex environment and to do so with computing resources severely limited by their size and power consumption. Biological systems evolved enviable computing capabilities to cope with noisy and harsh environments and to compete with rivalling life forms. Information processing in biological systems, from single-cell organisms to brains, directly utilises the physical and chemical processes of cellular and intracellular dynamics, whereas that in artificial systems is, in principle, independent of any physical implementation. The formidable gap between artificial and natural systems in terms of information processing capability [1] motivates research into biological modes of information processing. Hybrid artifacts, for example, try to overcome the theoretic and physical limits of information processing in solid-state realisations of digital von Neumann machines by exploiting the self-organisation of naturally evolved systems in engineered environments [2, 3]. This chapter presents a particular unconventional computing system, the Φ-bot, whose control is based on the behaviour of the true slime mould Physarum polycephalum. The second section gives a short introduction to the information-processing capabilities of this organism. The third section describes the two generations of the Φ-bot built so far. To discuss information-theoretic aspects of this robot, it is useful to sketch the concept of bounded computability that relates generic traits of information-processing systems with specific physico-chemical constraints on the realisation of such systems in different classes of computational media. This is done in the fourth section. The concluding section gives an outlook on engineering as well as foundational issues that will be important for the future development of the Φ-bot.
32 schema:editor Nce73408a39e74da3a7c81574eedc4eb4
33 schema:genre chapter
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N5cfeb10b0f4e4fbf9cdd29a25c31a06b
37 schema:name The Phi-Bot: A Robot Controlled by a Slime Mould
38 schema:pagination 213-232
39 schema:productId N67ce73a6192c47aca6b575901df99cd2
40 Na368dde1911f4e9599e46df4fe8665d1
41 Nf51f5fe3c4c247a6b3ce82490742dfe7
42 schema:publisher Nfb6fecf4231141bc8c03da988c24a003
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000489030
44 https://doi.org/10.1007/978-1-84882-530-7_10
45 schema:sdDatePublished 2019-04-16T07:09
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N8f303536ee6a4d248b1eb7592de175da
48 schema:url https://link.springer.com/10.1007%2F978-1-84882-530-7_10
49 sgo:license sg:explorer/license/
50 sgo:sdDataset chapters
51 rdf:type schema:Chapter
52 N175be25424774987ba4a4ade040e333b rdf:first Nea99c18045f2498db5d34ee93d2a5818
53 rdf:rest rdf:nil
54 N279cd33e52c14c0f9fc5c710783221e7 rdf:first sg:person.01016543352.51
55 rdf:rest N2e4b45a763ec4f24ae73ca4e546c3970
56 N2e4b45a763ec4f24ae73ca4e546c3970 rdf:first sg:person.016115013155.27
57 rdf:rest Nfcedd3d565a44ac9b863b2d905dfb347
58 N5cfeb10b0f4e4fbf9cdd29a25c31a06b schema:isbn 978-1-84882-529-1
59 978-1-84882-530-7
60 schema:name Artificial Life Models in Hardware
61 rdf:type schema:Book
62 N67ce73a6192c47aca6b575901df99cd2 schema:name readcube_id
63 schema:value 0253d5f7b37d5cb06a1cf66213c78dc159910b6211e33141ed70942dd653d9a4
64 rdf:type schema:PropertyValue
65 N8f303536ee6a4d248b1eb7592de175da schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 Na368dde1911f4e9599e46df4fe8665d1 schema:name dimensions_id
68 schema:value pub.1000489030
69 rdf:type schema:PropertyValue
70 Nce73408a39e74da3a7c81574eedc4eb4 rdf:first Neb5f49d9a3994114b2d4a425ba258b0c
71 rdf:rest N175be25424774987ba4a4ade040e333b
72 Nea99c18045f2498db5d34ee93d2a5818 schema:familyName Komosinski
73 schema:givenName Maciej
74 rdf:type schema:Person
75 Neb5f49d9a3994114b2d4a425ba258b0c schema:familyName Adamatzky
76 schema:givenName Andrew
77 rdf:type schema:Person
78 Nf51f5fe3c4c247a6b3ce82490742dfe7 schema:name doi
79 schema:value 10.1007/978-1-84882-530-7_10
80 rdf:type schema:PropertyValue
81 Nfb6fecf4231141bc8c03da988c24a003 schema:location London
82 schema:name Springer London
83 rdf:type schema:Organisation
84 Nfcedd3d565a44ac9b863b2d905dfb347 rdf:first sg:person.0757047771.73
85 rdf:rest rdf:nil
86 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
87 schema:name Information and Computing Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
90 schema:name Artificial Intelligence and Image Processing
91 rdf:type schema:DefinedTerm
92 sg:person.01016543352.51 schema:affiliation https://www.grid.ac/institutes/grid.5491.9
93 schema:familyName Tsuda
94 schema:givenName Soichiro
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016543352.51
96 rdf:type schema:Person
97 sg:person.016115013155.27 schema:affiliation https://www.grid.ac/institutes/grid.9613.d
98 schema:familyName Artmann
99 schema:givenName Stefan
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016115013155.27
101 rdf:type schema:Person
102 sg:person.0757047771.73 schema:affiliation https://www.grid.ac/institutes/grid.5491.9
103 schema:familyName Zauner
104 schema:givenName Klaus-Peter
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757047771.73
106 rdf:type schema:Person
107 sg:pub.10.1007/978-3-540-73554-0_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020581836
108 https://doi.org/10.1007/978-3-540-73554-0_6
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/bf00289234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037388395
111 https://doi.org/10.1007/bf00289234
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/bf00582358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044320425
114 https://doi.org/10.1007/bf00582358
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/bf01276856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013505366
117 https://doi.org/10.1007/bf01276856
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/bf01281018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048206370
120 https://doi.org/10.1007/bf01281018
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/s12304-008-9037-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004492529
123 https://doi.org/10.1007/s12304-008-9037-x
124 rdf:type schema:CreativeWork
125 https://app.dimensions.ai/details/publication/pub.1080825056 schema:CreativeWork
126 https://app.dimensions.ai/details/publication/pub.1081212960 schema:CreativeWork
127 https://doi.org/10.1002/1616-8984(20021)10:1<33::aid-seup33>3.0.co;2-# schema:sameAs https://app.dimensions.ai/details/publication/pub.1028450344
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1002/9780470696590.ch2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006991453
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1006/jtbi.1996.0030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005804628
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/0302-4598(96)05064-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026219950
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.biosystems.2004.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051828383
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/s0022-5193(86)80125-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007129255
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/s0022-5193(88)80235-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027133453
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0303-2647(99)00080-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008763100
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1080/10408430590918387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016233050
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1098/rspb.2004.2856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040665399
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1103/physrevlett.100.018101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060752642
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1103/physrevlett.87.078102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060823567
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1111/j.1751-1097.1996.tb01847.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031028997
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1142/s0129626407003150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062907373
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1143/ptp.100.235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063127512
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1515/9783110810592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045803682
158 rdf:type schema:CreativeWork
159 https://doi.org/10.4324/9781351297165-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107788848
160 rdf:type schema:CreativeWork
161 https://www.grid.ac/institutes/grid.5491.9 schema:alternateName University of Southampton
162 schema:name School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK
163 rdf:type schema:Organization
164 https://www.grid.ac/institutes/grid.9613.d schema:alternateName Friedrich Schiller University Jena
165 schema:name Frege Centre for Structural Sciences, Friedrich-Schiller-University, Zwötzengasse 9, 07737, Jena, Germany
166 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...