By Roman Słowiński (auth.), Ngoc Thanh Nguyen, Ryszard Kowalczyk, Shyi-Ming Chen (eds.)
Computational collective intelligence (CCI) is traditionally understood as a subfield of synthetic intelligence (AI) facing delicate computing tools that permit workforce judgements to be made or wisdom to be processed between independent devices appearing in allotted environments. the wishes for CCI options and instruments have grown signi- cantly lately as many details platforms paintings in allotted environments and use allotted assets. Web-based structures, social networks and multi-agent structures quite often desire those instruments for understanding constant wisdom states, resolving conflicts and making judgements. accordingly, CCI is of significant significance for today’s and destiny disbursed structures. Methodological, theoretical and sensible facets of computational collective int- ligence, akin to workforce selection making, collective motion coordination, and data integration, are regarded as the shape of intelligence that emerges from the collabo- tion and festival of lots of individuals (artificial and/or natural). the appliance of a number of computational intelligence applied sciences reminiscent of fuzzy structures, evolutionary computation, neural platforms, consensus thought, and so on. , can help human and different collective intelligence and create new different types of CCI in traditional and/or synthetic s- tems.
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Extra resources for Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems: First International Conference, ICCCI 2009, Wrocław, Poland, October 5-7, 2009. Proceedings
Lévy that cannot be derived from the initial semiotic ternarity like: future, present and past for tenses; or ﬁrst, second and third persons for verbs and pronouns inﬂections. Every semantic structure that can be organised by a ternary symmetry will take advantage of the S/B /T dialectic to be represented in IEML. For example: proposition (S), judgement (B) and state of things (T) in logic; legislative (S), judiciary (B) and executive (T) in politics; price (S), property (B) and utility (T) in economy; teachings (S), community (B) and ultimate reality (T) in religion, etc.
Horizontally, the ternary dialectic sign/being/thing juxtaposes and joins the three complementary tuples: know-documents/want-persons/can-bodies. I have adopted here the network or actor-network theory[7, 36] that is broadly used in human and social sciences, leading to the integration of mathematical tools of graph theory[24, 9, 76]. This diagram shows essentially that a sustainable collective intelligence implies a continuous exchange of resources between the six kinds of human capitals. How can we develop methods to measure the value of the six kinds of human capitals and their ﬂow of exchange?
In Figure 1, for each layer, the underlined text describes the type of interconnection, the second line states the addressing system itself, the text in italic suggests the main applications or technical tools developed on this layer and the last lines evoke the principal socio-cultural eﬀects. The ﬁrst layer concerns the information bits contained and addressed in a computer’s memory. The key point here is that the data and the programs are addressed - in principle - by the same storage system.
Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems: First International Conference, ICCCI 2009, Wrocław, Poland, October 5-7, 2009. Proceedings by Roman Słowiński (auth.), Ngoc Thanh Nguyen, Ryszard Kowalczyk, Shyi-Ming Chen (eds.)