The Experts below are selected from a list of 5178 Experts worldwide ranked by ideXlab platform

Zheng Guolei - One of the best experts on this subject based on the ideXlab platform.

  • Study on Definition of Intelligence by Combining with Primitive Semantics
    Mind and Computation, 2010
    Co-Authors: Zheng Guolei
    Abstract:

    The applying background about the proposed definition of intelligence is further analyzed.Not only are the characteristics of intelligence discussed,but also the formula of relationship between artificial intelligence and human-level intelligence is proposed.An improved physical symbolic system and the theorem of relationship between Turing Test and intelligence are explained and further discussed.At last,the intelligent structure and complexity are discussed,and a metric method for complexity of intelligent system is given out.The research reveals that the intelligence which is usually said is a human level one,then suggests to apply the definition of intelligence based on Primitive Semantics to judgment and building of intelligent system.

Guilherme Bittencourt - One of the best experts on this subject based on the ideXlab platform.

  • EPIA - Parla: A Cooperation Language for Cognitive Multi-Agent Systems
    Progress in Artificial Intelligence, 1997
    Co-Authors: Augusto Cesar Pinto Loureiro Da Costa, Guilherme Bittencourt
    Abstract:

    One of the main goals of Distributed Artificial Intelligence is to devise methods to join a community of Computational Agents into a Multi-Agent System, where these agents can cooperate to reach common goals. Cooperation in a Cognitive Agent community is usually supported by an Agent Communication Language (ACL) which allows the agents to exchange knowledge and information through a computer network. In this paper, we propose Parla, a high level agent communication language to cognitive multi-agent systems. This language is based on a standard message format, that contains the necessary information for the message integrity, network security and groupware services to be implemented. These services can either be performed by the lower layers of the system or be included in the high level agent communication support. This message format has a specific slot to store the cooperation language expressions. These expressions consist of a Primitive name and an argument, which should be a valid expression of a knowledge representation formalism supported by the cognitive agent. The following aspects of the Parla language are presented: language layers, agent communication support requirements, message format, Primitive set and Primitive Semantics. To demonstrate the language use, a cooperation example among four agents is presented. In this example, each agent has its own specific domain of knowledge but, because of global interdependences, cooperation is necessary. This example refers to the recomposition of part of the South Brazil's electrical network.

Augusto Cesar Pinto Loureiro Da Costa - One of the best experts on this subject based on the ideXlab platform.

  • EPIA - Parla: A Cooperation Language for Cognitive Multi-Agent Systems
    Progress in Artificial Intelligence, 1997
    Co-Authors: Augusto Cesar Pinto Loureiro Da Costa, Guilherme Bittencourt
    Abstract:

    One of the main goals of Distributed Artificial Intelligence is to devise methods to join a community of Computational Agents into a Multi-Agent System, where these agents can cooperate to reach common goals. Cooperation in a Cognitive Agent community is usually supported by an Agent Communication Language (ACL) which allows the agents to exchange knowledge and information through a computer network. In this paper, we propose Parla, a high level agent communication language to cognitive multi-agent systems. This language is based on a standard message format, that contains the necessary information for the message integrity, network security and groupware services to be implemented. These services can either be performed by the lower layers of the system or be included in the high level agent communication support. This message format has a specific slot to store the cooperation language expressions. These expressions consist of a Primitive name and an argument, which should be a valid expression of a knowledge representation formalism supported by the cognitive agent. The following aspects of the Parla language are presented: language layers, agent communication support requirements, message format, Primitive set and Primitive Semantics. To demonstrate the language use, a cooperation example among four agents is presented. In this example, each agent has its own specific domain of knowledge but, because of global interdependences, cooperation is necessary. This example refers to the recomposition of part of the South Brazil's electrical network.

Radu J. Bogdan - One of the best experts on this subject based on the ideXlab platform.

William Mark Goodwin - One of the best experts on this subject based on the ideXlab platform.

  • Coffa’s Kant and the evolution of accounts of mathematical necessity
    Synthese, 2010
    Co-Authors: William Mark Goodwin
    Abstract:

    According to Alberto Coffa in The Semantic Tradition from Kant to Carnap , Kant’s account of mathematical judgment is built on a ‘semantic swamp’. Kant’s Primitive Semantics led him to appeal to pure intuition in an attempt to explain mathematical necessity. The appeal to pure intuition was, on Coffa’s line, a blunder from which philosophy was forced to spend the next 150 years trying to recover. This dismal assessment of Kant’s contributions to the evolution of accounts of mathematical necessity is fundamentally backward-looking. Coffa’s account of how semantic theories of the a priori evolved out of Kant’s doctrine of pure intuition rightly emphasizes those developments, both scientific and philosophical, that collectively served to undermine the plausibility of Kant’s account. What is missing from Coffa’s story, apart from any recognition of Kant’s semantic innovations, is an attempt to appreciate Kant’s philosophical context and the distinctive perspective from which Kant viewed issues in the philosophy of mathematics. When Kant’s perspective and context are brought out, he can not only be seen to have made a genuinely progressive contribution to the development of accounts of mathematical necessity, but also to be relevant to contemporary issues in the philosophy of mathematics in underappreciated ways.