Download Cognition and Multi-Agent Interaction From Cognitive by Ron Sun PDF

By Ron Sun

This publication explores the intersection among cognitive sciences and social sciences. particularly, 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 a point, multi-agent systems)--have noticeable out of the ordinary development in recent times. even if, the interplay of those fields has now not been sufficiently constructed. We think that the interplay of the 2 should be extra major than both on my own.

Show description

Read or Download Cognition and Multi-Agent Interaction From Cognitive Modeling to Social Simulation PDF

Similar intelligence & semantics books

The Artificial Life Route To Artificial Intelligence: Building Embodied, Situated Agents

This quantity is the direct results of a convention within which a couple of major researchers from the fields of synthetic intelligence and biology collected to ascertain no matter if there has been any flooring to imagine new AI paradigm was once forming itself and what the basic elements of this new paradigm have been.

An Introduction to Computational Learning Theory

Emphasizing problems with computational potency, Michael Kearns and Umesh Vazirani introduce a few relevant themes in computational studying concept for researchers and scholars in synthetic intelligence, neural networks, theoretical laptop technological know-how, and records. Computational studying conception is a brand new and quickly increasing quarter of study that examines formal types of induction with the objectives of getting to know the typical tools underlying effective studying algorithms and opting for the computational impediments to studying.

Ontology-Based Multi-Agent Systems

The Semantic net has given loads of impetus to the improvement of ontologies and multi-agent structures. numerous books have seemed which debate the improvement of ontologies or of multi-agent structures individually on their lonesome. The growing to be interplay among agnets and ontologies has highlighted the necessity for built-in improvement of those.

Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

The tough and fuzzy set ways awarded right here open up many new frontiers for endured study and improvement. Computational Intelligence and have choice presents readers with the historical past and basic rules in the back of characteristic choice (FS), with an emphasis on suggestions in line with tough and fuzzy units.

Extra resources for Cognition and Multi-Agent Interaction From Cognitive Modeling to Social Simulation

Sample text

One can easily imagine that the complexity of such a simulation could be overwhelming. Understanding theoretical issues regarding cognition and sociality requires computational modeling and simulation, not only because of the complexity of such an undertaking, but also because of the expressive power of computational models. Unlike mathematical modeling, computational modeling is not limited by available mathematical tools. Hence it enjoys greater expressive power. , 2004). There has been work going on in investigating the purported root of both cognition and sociality.

One can easily imagine that the complexity of such a simulation could be overwhelming. Understanding theoretical issues regarding cognition and sociality requires computational modeling and simulation, not only because of the complexity of such an undertaking, but also because of the expressive power of computational models. Unlike mathematical modeling, computational modeling is not limited by available mathematical tools. Hence it enjoys greater expressive power. , 2004). There has been work going on in investigating the purported root of both cognition and sociality.

To help achieve better understanding of the proposed models and architectures, Part 4 of this book presents various views, issues, and arguments concerning possibilities of integrating cognitive modeling and social simulation. Among these short chapters, Moss argues that computational cognitive social simulation is good science because it is observation driven. Computational cognitive social simulation models capture some intuitive understanding and draw its implications through simulation experiments.

Download PDF sample

Rated 4.76 of 5 – based on 12 votes