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Additional resources for Agents and Multi-Agent Systems in Construction

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We wanted to see whether we could discover a distinguishable difference between swarm and non-swarm agents. 5). 6) confirmed that statement. 7. 5. 5 The average value of all attributes measured for every agent. 6 A Q–Q plot against a normal distribution. 7 Average attributes’ values. enabled us to make the following statements about the current stage of agents in design (Skolicki and Arciszewski, 2003a): a b A low average value of Perspective attribute suggests that in most cases the agents are built to act locally with limited ability to probe the environment and with high level of encapsulation.

Kvan, M. -S. Jeng (eds) Proceedings of the Tenth International Conference on Computer Aided Architectural Design Futures, ‘Digital Design: research and practice’, Kluwer, Tainan, Taiwan, pp. 105–14. Tecuci, G. (1998) Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies, Academic Press, San Diego, CA. Turing, A. M. (1950) ‘Computing machinery and intelligence’, Mind, 59(236): 433–60. Ugwu, O. , Kumaraswamy, M. , Ng, T. S. and Lee, P. K.

Selfridge in the 1950s (Bradshaw, 1997). Agent is usually understood as a system or device acting on behalf of another one. For example, a software agent is a computer system to which a user can delegate tasks. Agents are expected to operate continuously over relatively long time periods and to behave at least in a semi-autonomous way. Agents do not wait for instructions; they initiate actions and guide the interaction. An agent is seen more as an organism or an autonomous entity with which some interaction is possible, whereas a program is more simply a tool.

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