Jorge Louçã

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This paper examines the interplay of opinion exchange dynamics and communication network formation. An opinion formation procedure is introduced which is based on an abstract representation of opinions as k–dimensional bit–strings. Individuals interact if the difference in the opinion strings is below a defined similarity threshold dI . Depending on dI ,(More)
This paper presents a multi-agent model to support decisionmaking in organizations. The model is characterized by being interactive, distributed, and incremental and by the use of cognitive maps to represent the knowledge of decision-making actors. The main proposition is to consider the context of concepts belonging to cognitive maps in a way that it(More)
We propose a descriptive 2D Hybrid Cellular Automaton model that simulates the growth behavior of a tissue with cancerous cells. We combine a set of hallmarks of cancer (Hanahan and Weinber, 2000) with the effect of acidification of the cell surroundings by the production of acid by tumorous cells and model some aspects of the communication in living(More)
This paper proposes the use of cognitive schemata to model metacognitive social phenomena, characterizing the reciprocity between micro and macro dimensions in an organization. The main idea that rationalizes this research is that explicit modeling of social cognitive constructs might improve the understanding of organizational culture and learning(More)
This paper proposes a generic software architecture for the concurrent execution of social simulation models. Concurrent execution of simulation models has considerable advantages regarding other ways of comparing models, such as run-time comparison, performance evaluation, and the possibility of interaction between complementary models. A tool has been(More)
We present a formal framework for the identification and interpretation of emergent properties in environments where agents participate in distinct kinds of relations or networks. We focus here on the interplay between social and geographic relations in the behavior of our agents. The method we present provides a way to detect emergent properties in the(More)

 This
 article
 proposes
 applying
 the
 variation
 of
 information
 measure
 from
 Information
 Theory
to
evaluate
macro‐level
properties
characterising
dynamic
networks.
This
measure
is
used
to
 evaluate
 different
 clusters
 given
 by
 the
 agglomerative
 hierarchical
 clustering
 algorithm
of
 Clauset,
 Newman
and
Moore
 (2004),
 concerning
a
 case
(More)