By Ron Sun
This e-book explores the intersection among cognitive sciences and social sciences. specifically, it explores the intersection among person cognitive modeling and modeling of multi-agent interplay (social stimulation). the 2 contributing fields--individual cognitive modeling (especially cognitive architectures) and modeling of multi-agent interplay (including social simulation and, to some degree, multi-agent systems)--have visible exceptional progress lately. even if, the interplay of those fields has no longer been sufficiently constructed. We think that the interplay of the 2 will be extra major than both on my own.
Read or Download Cognition and Multi-Agent Interaction From Cognitive Modeling to Social Simulation PDF
Best intelligence & semantics books
This publication is a suite of the "best" / so much stated Brooks papers. primarily it covers what's thought of the middle of papers that obtained behaviour established robotics rolling. just about all papers have seemed as magazine papers past and this is often simply a handy number of those. For someone engaged on cellular robotics those papers are a needs to.
This e-book constitutes the refereed complaints of the 4th eu convention on making plans, ECP'97, held in Toulouse, France, in September 1997. The 35 revised complete papers awarded have been rigorously reviewed and chosen from ninety submissions. the variety of themes coated spans all points of present man made intelligence making plans, from theoretical and foundational concerns to real making plans of structures and functions in various components.
This sequence will comprise monographs and collections of reports dedicated to the research and exploration of data, info, and information processing platforms of all types, irrespective of even if human, (other) animal, or computer. Its scope is meant to span the total variety of pursuits from classical difficulties within the philosophy of brain and philosophical psycholo gy via concerns in cognitive psychology and sociobiology (concerning the psychological features of alternative species) to principles relating to synthetic in telligence and to machine technology.
This ebook describes how evolutionary algorithms (EA), together with genetic algorithms (GA) and particle swarm optimization (PSO) can be used for fixing multi-objective optimization difficulties within the quarter of embedded and VLSI procedure layout. Many complicated engineering optimization difficulties may be modelled as multi-objective formulations.
- Advances in Unconventional Computing: Volume 2: Prototypes, Models and Algorithms
- Parallel Genetic Algorithms: Theory and Real World Applications
- Neural networks: algorithms, applications, and programming techniques
- Intelligent Open Learning Systems: Concepts, Models and Algorithms
- Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms
Additional info for Cognition and Multi-Agent Interaction From Cognitive Modeling to Social Simulation
Prolegomena to Integrating Cognitive Modeling and Social Simulation 17 Alternatively, a complex model, with sufﬁcient social details as well as cognitive details, may be constructed to begin with. Then various details, especially parameters concerning cognition, can be tested and validated in terms of their effects on the outcomes of simulation. One possible way of doing this is gradually stripping away layers of details and testing the effects of such stripped-down versions in terms of the outcomes of simulation.
Aligning simulation models: A case study and results. Computational and Mathematical Organization Theory, 1(2), 123– 141. , & Tooby, J. (1992). The adapted mind: Evolutionary psychology and the generation of culture. New York: Oxford University Press. Bickhard, M. (1993). Representational content in humans and machines. Journal of Experimental and Theoretical Artiﬁcial Intelligence, 5, 285–333. , & Wacquant, L. (1992). An invitation to reﬂexive sociology. Chicago: University of Chicago Press. , & Ramble, C.
Gray, W. (2002). Introduction to the special issue on computational cognitive modeling. Cognitive Systems Research, 3(1), 1–3. Smith, A. (1976). The wealth of nations. Oxford, UK: Clarendon Press. Sun, R. (2001a). Individual action and collective function: From sociology to multiagent learning. Cognitive Systems Research, 2(1), 1–3. Sun, R. (2001b). Cognitive science meets multi-agent systems: A prolegomenon. Philosophical Psychology, 14(1), 5–28. Sun, R. (2002). Duality of the mind. Mahwah, NJ: Lawrence Erlbaum Associates.