Download Artificial Social Systems: 4th European Workshop on by Cristiano Castelfranchi, Eric Werner PDF

By Cristiano Castelfranchi, Eric Werner

ISBN-10: 0387582665

ISBN-13: 9780387582665

ISBN-10: 3540582665

ISBN-13: 9783540582663

This quantity comprises completely refereed models of the easiest papers awarded on the 4th ecu Workshop on Modelling Automomous brokers in a Multi-Agent international, held July 29 - 31, 1992 in S. Martino al Cimino, Italy.
The publication opens with an introductory survey through the amount editors not just at the choice of papers but additionally at the historical past and current scenario of dispensed synthetic Intelligence (DAI) and its interdisciplinary kin to social sciences, man made existence, and economics. the nineteen technical papers are equipped into sections on synthetic lifestyles and reactive structures, economics and video game thought, coordination and multi-agent making plans, and DAI instruments and purposes.

Show description

Read Online or Download Artificial Social Systems: 4th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '92, S. Martino al Cimino, Italy, July 29-31, 1992. Selected Papers PDF

Similar intelligence & semantics books

Rough Sets and Intelligent Systems - Professor Zdzislaw Pawlak in Memoriam: Volume 1

This publication is devoted to the reminiscence of Professor Zdzis{\l}aw Pawlak who kicked the bucket nearly six yr in the past. he's the founding father of the Polish college of synthetic Intelligence and one of many pioneers in computing device Engineering and desktop technology with all over the world impression. He was once a very nice scientist, researcher, instructor and a man or woman.

Neural Networks and Learning Machines

For graduate-level neural community classes provided within the departments of machine Engineering, electric Engineering, and desktop technology.   Neural Networks and studying Machines, 3rd version is well known for its thoroughness and clarity. This well-organized and fully up to date textual content continues to be the main entire remedy of neural networks from an engineering point of view.

Principles of Artificial Intelligence

A vintage advent to synthetic intelligence meant to bridge the space among concept and perform, ideas of synthetic Intelligence describes primary AI rules that underlie purposes equivalent to normal language processing, computerized programming, robotics, desktop imaginative and prescient, automated theorem proving, and clever facts retrieval.

Additional info for Artificial Social Systems: 4th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '92, S. Martino al Cimino, Italy, July 29-31, 1992. Selected Papers

Sample text

27 An Analogical Approach Consider, for instance, our given context 312 and its supracontexts. We partition each supracontext into its subcontexts (as defined by the given context): SUPRACONTEXT SUBCONTEXTS 312 312312 3123i2 312312 312 3i2 312 3i2 312 312 312 312 312 312 3i2 3i2 312 313-2 -12 3-- -1--2 n2~23h3rl3h3rl3lili2 3i2 u 3i2 3i2 Now we count the number of disagreements in each of the subcontexts of a supracontext and compare the sum of these disagreements with the 28 ANALOGICAL MODELING OF LANGUAGE number of disagreements in the supracontext itself.

I I I / '" / 0 I J J 3-- (which contains 31-) I I \ e,r \ \ \ \ \ \ \'- An Analogical Approach 33 Ignoring the first type of homogeneous supracontext (the empty case), we can say that there are two basic types of homogeneous supracontexts: (i) either the supracontext is deterministic or (ii) the supracontext is unobstructed and non-deterministic. By llllobstntcted we mean either that the single subcontext that occurs is the given context or that all the subcontexts between that single subcontext and the given context (including the given context) are empty.

In a saturated deterministic field of n variables, if a particular occurrence has y variables in common with the given context, then the number of pointers in the analogical set pointing to that occurrence equals the following sum: The analogical effect for a particular occurrence is therefore an exponential function of the distance between that occurrence and the given context. We can see this in the following example where the given context is 00000000: DISTANCE SAMPLE OCCURRENCE NUMBER OF POINTERS 0 1 2 3 4 5 6 7 8 00000000 00000001 00000011 00000111 00001111 00011111 00111111 01111111 11111111 6561 4374 2916 1944 1296 864 576 384 256 39 An Analogical Approach 8000 6000 NUMBER OF POINTERS 4000 2000 o L -_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ __ _ _ o 1 2 3 4 5 6 7 8 DISTANCE FROM GIVEN On the other hand, given a saturated idiosyncratic field (that is, every occurrence has a different outcome), only the occurrences contained in the given context are in the analogical set - and each of these occurrences has an equal probability of being selected as the analogical model.

Download PDF sample

Artificial Social Systems: 4th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '92, S. Martino al Cimino, Italy, July 29-31, 1992. Selected Papers by Cristiano Castelfranchi, Eric Werner


by Steven
4.0

Rated 4.30 of 5 – based on 23 votes