Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Reading Level
      Reading Level
      Clear All
      Reading Level
  • Content Type
      Content Type
      Clear All
      Content Type
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Item Type
    • Is Full-Text Available
    • Subject
    • Publisher
    • Source
    • Donor
    • Language
    • Place of Publication
    • Contributors
    • Location
66 result(s) for "Richards, Whitman"
Sort by:
Anigrafs
In this book, Whitman Richards offers a novel and provocative proposal for understanding decision making and human behavior. Building on Valentino Braitenberg's famous \"vehicles,\" Richards describes a collection of mental organisms that he calls \"daemons\" -- virtual correlates of neural modules. Daemons have favored choices and make decisions that control behaviors of the group to which they belong, with each daemon preferring a different outcome. Richards arranges these preferences in graphs, linking similar choices, which thus reinforce each other. \"Anigrafs\" refers to these two components -- animals, or the mental organisms (agents or daemons), and the graphs that show similarity relations. Together these two components are the basis of a new cognitive architecture. In Richards's account, a collection of daemons compete for control of the cognitive system in which they reside; the challenge is to get the daemons to agree on one of many choices. Richards explores the results of group decisions, emphasizing the Condorcet voting procedure for aggregating preferences. A neural mechanism is proposed.Anigrafspresents a series of group decisions that incorporate simple and complex movements, as well as aspects of cognition and belief.Anigrafsconcludes with a section on \"metagrafs,\" which chart relationships between different anigraf models.
The evolution and structure of social networks
As social networks evolve, new nodes are linked to the large-scale organization already in place. We show that the combination of two simple algorithms, one the Barabasi-Albert preferential attachment proposal and the other a neighbor attachment rule, successfully generate networks exhibiting both the local and global characteristics of empirical data on social network structures. Ideally, one might hope that some coarse features of this linking process and the form of the local patterns might enable the prediction of large-scale properties. We show that this is generally not the case. This might help explain the variety of local and global patterns in empirical networks.
Anigraf8
Consider a society of identical anigrafs. Then, unlike the connectivity shown in figure 8.0, the social map will be the complete graph. However, with such homogeneity, there will be accurate, intelligible communications among members of the society. Sacrificed will be the ability of the group to see the world from different vantage points. Behaviors will be very predictable. Clearly, the flexibility and adaptability of a society depends upon its members possessing a range of talents to execute a host of different tasks (Page 2007). Fortunately, given even minimal environmental pressures, offspring are not carbon copies of their parents. As the
Anigraf2
Precursor anigrafs had very limited behaviors, constrained for didactic purposes to simple ring forms. This simplification hid the potential complexity of designs and behaviors that could be attributed to primitive life forms. Here we begin to expand this repertoire. The component mental organisms, or “agents,” will have access to different kinds of interfaces with the environment, with interface hardware that affects the behavior of the system as a whole. Each agent will have control over those additions, and will “vote” depending upon the strength of its desire to achieve a preferred goal. In effect, then, we are formalizing a two-tier
Preliminaries
Decision-making is a reflection of intelligence. The lowest forms of animals make reflexive actions, whereas advanced mammals, living in complex environments, make decisions for actions that are often also complex. In such environments, many possible alternatives need to be evaluated before a commitment is made. There are two aspects of this part of intelligence that interest us here: first, there is the procedure for making a decision among many alternatives; second, there are the possible relations among these alternatives, which we dub thecognitive architecturesof the system. These alternatives are possible choices for actions. Cognitive architectures thus capture the
Anigraf5
Goals such as “fight,” “flee,” “evade,” “approach,” or “be still” have a definite cognitive flavor. Supporting these goals are the limb movements we have characterized as run, walk, turn, halt, etc. It is useful to make explicit these two levels of description. Let us attribute the observed behavior to more cognitive, mental organisms, and use lower-level agents to describe the movements of the limbs. The external observer sees only a symphony of limb movements, and from these actions infers a creature’s intentions and goals. This inference is compelling (recall the labels naturally placed on Braitenberg’s vehicles). For example, the direction
Anigraf6: Planners
A dance requires choreography. For humans, we create a variety of dance sequences from a rather limited set of limb movements. However, for many fish, birds, and other lower animal forms, there are “innate releasing mechanisms” with the choreography “built in” (Lorentz 1982; Tinbergen 1951). This is especially clear in mating behaviors, where consummation requires first various displays that arouse interest, then contact, and finally intercourse. Often the environment plays a key role in choosing the correct action where one act sets up the preconditions for the next. Whether the behavior is the building of a spider’s web, the burying
Anigraf3
Swimmers have limited freedom of movement. Their actions are thus limited, and, consequently, we do not expect such creatures to possess a high level of intelligence. Our most advanced swimmers use wavelike motions of a segmented appendage for locomotion. Resident within each segment is an individual agent. A chain of these agents guides a wave motion of the body or limb segments. To enhance the behavioral repertoire of such anigrafs, an obvious next step is to add more limbs. Alternatively, the chain of agents itself can be augmented, such as adding branches so the anigraf resembles a simple tree. In
Anigraf7
As anigrafs become more engaged with their worlds, new relationships among events will be discovered. Some of these will involve inanimate objects and actions; others may follow from interactions with new species of creatures, perhaps with different embodiments, and hence with different internal models. These new relationships will require new, or revised, models that are appropriate for the context. Two options are obvious: edges can be added or deleted; or, nodes can be created or destroyed. Both come at a cost. If edges are revised, then the altered anigraf, appropriate for the new context, may not have the proper form