Richards, Diana# McKay, Brendan D# and Richards, Whitman A: (1998) "Collective Choice and Mutual Knowledge Structures", Advances in Complex Systems, v.1:2-3, pp. 221-236 Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Virtual Environments as Constraints on Decision-Making in Agent.. - Joslyn (1999) (Correct)
.... by the semiotic systems used to record, transmit, and interpret information [2, 3] Shared Knowledge: Finally, decisions of agents may be constrained by a shared set of knowledge or beliefs, for example through a common biological evolution or cultural transmission (training or education) [5]. While all three of these aspects are usually not present in all agent models, we argue that they all become necessary when developing agent models of modern human organizations (for Distributed Knowledge Systems Team, Computer Research and Applications Group (CIC 3) Mail Stop B265, Los Alamos ....
Richards, Diana# McKay, Brendan D# and Richards, Whitman A: (1998) "Collective Choice and Mutual Knowledge Structures", Advances in Complex Systems,v.1:2-3, pp. 221-236
Biologically Motivated Distributed Design for Adaptive.. - Rocha, Bollen (2000) (1 citation) (Correct)
....and high evolvability. The success of imbuing computer systems with distributed, bottom up, designs from biology is apparent in such areas as optimization [Holland, 1995; Mitchell, 1996] modeling and simulation of social phenomena and organizations [Lindgren, 1991; Hutchins and Hazlehurst, 1991; Richards, McKay, and Richards, 1998], computer security [Forrest, Hofmeyr and Somayaji, 1997; also see Forrest s article in this volume] Artificial Life [Langton, 1989] and even biology itself [Schuster, 1995] We are now interested in improving the limitations of IR in DIS utilizing biologically motivated designs. The ultimate ....
Richards, D., B.D. McKay, and W.A. Richards [1998]."Collective choice and mutual knowledge structures." Advances in Complex Systems. Vol. 1, pp. 221-236.
Semiotic Agent Models for Simulating Socio-Technical Organizations - Joslyn (1999) (1 citation) (Correct)
....a collectivechoice, each individual in the group is represented as an agent. These researchers are mostly concerned specifically with the decision making capabilities of agents, either collectively or in groups, rather than other aspects of agents in general. Examples include the work of Richards [31] [Rocha pp. 18 19] Wolpert [36] and their colleagues. We can see these approaches as the ultimate departure of the agent concept from its roots in robotics, in that pure decision making is considered divorced from any interaction with environments, either real or simulated. 2.2 Properties of ....
....cognition. 11 Shared Knowledge: Finally, decisions of agents may be constrained by a shared set of knowledge or beliefs, for example through a common biological evolution or cultural transmission (training or education) A cogent example here is the work of Diana Richards and her colleagues [31], discussed fully in [Rocha pp. 18 19] 3.4.2 Agent Dependence Knowledge in these systems is necessary agent relative, implying a kind of subjectivity, relativism, or constructivism. This follows from the fact that semiotics emphasizes the necessity for signs to be interpreted by agents in order ....
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Richards, Diana# McKay, Brendan D# and Richards, Whitman A: (1998) "Collective Choice and Mutual Knowledge Structures", Advances in Complex Systems,v.1:2-3, pp. 221-236
Virtual Environments As Constraints On Decision Making In.. - Dr Cliff Joslyn (Correct)
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Richards, Diana# McKay, Brendan D# and Richards, Whitman A: (1998) "Collective Choice and Mutual Knowledge Structures", Advances in Complex Systems, v.1:2-3, pp. 221-236
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