Computational models of emotions have been thriving and increasingly popular since the 1990s. Such models used to be concerned with the emotions of individual agents when they interact with other agents. Out of the array of models for the emotions, we are going to devote special attention to the approach in Adamatzky’s Dynamics of Crowd-Minds. The reason it stands out, is that it considers the crowd, rather than the individual agent. It fits in computational intelligence. It works by mathematical simulation (...) on a crowd of simple artificial agents: by letting the computer program run, the agents evolve, and crowd behaviour emerges. Adamatzky’s purpose is to give an account of the emergence of allegedly “irrational” behaviour. This is not without problem, as the irrational to one person may seem entirely rational to another, and this in turn is an insight that, in the history of crowd psychology, has affected indeed the competition among theories of crowd dynamics. Quite importantly, Adamatzky’s book argues for the transition from individual agencies to a crowd’s or a mob’s coalesced mind as so, and at any rate for coalesced crowd’s agency. (shrink)

As a step towards comprehensive computer models of communication, and effective human machine dialogue, some of the relationships between communication and affect are explored. An outline theory is presented of the architecture that makes various kinds of affective states possible, or even inevitable, in intelligent agents, along with some of the implications of this theory for various communicative processes. The model implies that human beings typically have many different, hierarchically organized, dispositions capable of interacting with new information to produce affective (...) states, distract attention, interrupt ongoing actions, and so on. High "insistence" of motives is defined in relation to a tendency to penetrate an attention filter mechanism, which seems to account for the partial loss of control involved in emotions. One conclusion is that emulating human communicative abilities will not be achieved easily. Another is that it will be even more difficult to design and build computing systems that reliably achieve interesting communicative goals. (shrink)

The narratives studied by schema-based models or story grammars are generally simpler than those found in literary texts, such as short stones or novels. Literary narratives are indeterminate, exhibiting conflicts between schemata and frequent ambiguities in the status of narrative elements. An account of the process of comprehending such complex narratives is beyond the reach of purely cognitive models. It is argued that during comprehension response is controlled by affect, which directs the creation of schemata more adequate to the text. (...) Several properties of affect that make it appropriate for this model of narrative are discussed. A short story by Virginia Woolf is analysed in the light of the proposed model. A study with readers of the story is described, which illustrates the process of schema formation: Shifts in the relative importance of story phrases across the reading and the comments made by readers point to a process of schema creation under the control of affect. It is argued that affect may play a more productive role in cognitive processes than is generally acknowledged. (shrink)