Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation

By Nigel Gilbert Jndex. 2006

364 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5de55996be27f522d5634831c61ff33fe4a4de68

Citations in the corpus

• Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology) (2007, unknown): “This is particularly important, for example, for social simulation [50, 51, 79, 93], an area of research that makes extensive use of multi-agent systems techniques.”
• Designs for explaining intelligent agents (2009, unknown): “The operational concept of an agent may be derived from a theory of collaborative intelligence, for example, CoJACK (Ritter and Norling, 2006) or CAST (Yen et al., 2001), a cognitive architecture such as Soar (Newell, 1990; Jones et al., 1999) or ACT-R (Anderson et al., 2004), or may be based on a…”
• Everything you need to know about agent-based modelling and simulation (2016, unknown): “Causative agent behavioural models based on insights from behavioural economics (Kahneman, 2011) and cognitive sciences (Sun, 2006) that include social and emotional factors could be essential elements of more predictive, and useful, agent-based models.”
• Foliar heavy metal uptake, toxicity and detoxification in plants: A comparison of foliar and root metal uptake. (2017, unknown): “Two types of trust metrics exist in the literature [32] [30] [9].”
• Deep learning in robotics: a review of recent research (2017, unknown): “Thus, the current trajectory of advancement strongly suggests that control of robots is leading toward full cognitive architectures that divide coordination tasks in a manner increasingly analogous with the brain [68-70].”
• Special Thematic Section on "Societal Change" A Complex Systems Approach to the Study of Ideology: Cognitive-Affective Structures and the Dynamics of Belief Systems (2013, unknown): “For a review and critique, see Sobkowicz (2009) or Sun (2006).”