evolcomp - Centre for Policy Modelling
... considered as relative to a given observer. Thus there is an established split between the “system
complexity” and the “observer complexity”. The system complexity is the complexity of the system
w.r.t. the observer and the observer complexity is the complexity of the observer w.r.t. the system.
The Role of Subjectivity in Intelligent Systems Communication and
... In activity theory perspective agency is a negotiated relationship between the subject and
the tools used by a subject to perform activities in a determinate context (Bernat 2011).
Seen from the activity theory perspective Agency is in fact liable to change in response to
new contextual development ...
Publication : An introduction to Soar as an agent architecture
... parent problem space.1 The PSCM defines an ontology of impasses, detailing all the
situations that can stop progress in a problem space; common impasse types are shown in
Table 1. Each impasse prescribes a specific class of subordinate problem space and the
states and operators in this problem space ...
Radical Enactivism, Wittgenstein and the cognitive gap
... Roberts (2013) objects that the REC claim entails that, “the distinction between veridical and illusory
experience is hard for the radical enactivist to draw…[On the REC proposal, not] only are creatures
with basic minds, who are without fully-formed conceptual abilities, thus unable to undergo perc ...
Intelligence by Design - Department of Computer Science
... All intelligence relies on search — for example, the search for an intelligent agent’s next
action. Search is only likely to succeed in resource-bounded agents if they have already
been biased towards finding the right answer. In artificial agents, the primary source of bias
This dis ...
Intelligence by Design: Principles of Modularity and Coordination for
... paper Intelligence Without Reason that introduced me to modular, distributed intelligence,
convinced me to do a PhD, and brought me to MIT. It was on his and Lynn Stein’s Cog
project that I started thinking about specialized learning. I reread that paper a month ago,
and I’m amazed the extent to whi ...
Qualitative Spatial Reasoning: Framework and Frontiers
... Diagrams and models seem inextricably linked with human spatial reasoning. Why? The
wealth of concrete detail in such analog spatial representations at first might seem more
than necessary for most spatial questions. Perhaps there are more abstract representations
of shape and space which by themsel ...
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... t is believed that the main difference between a machine and
the human operating it is the latter’s sense of feeling, pervasiveness and ability to understand rather than to process. Often we
may be amused by the smartphone’s speech recognition ability
(For example, we said: “Define perception” and t ...
Collapsing Distinctions: Interacting within Fields of Intelligence on
... Again, returning closer to home, we may pay attention to the phenomena of art making among
humans. What is its function? As far as we know, the functions are myriad, probably beyond any
description we’ve yet invented. However, one hugely important aspect of art making involves
taking advantage of th ...
Intelligent Distributed Agent Based Architecture
... architecture that facilitates coordination and a novel social networks based approach
to coordination. The field of multi-agent system research is undergoing tremendous
expansion and it would be impossible to address all the issues related to the field.
Instead, this thesis focuses on the coordinati ...
... appealing to the difficulty of reasoning with multiple models. For example, it is more
difficult to identify Modus Tollens as valid (compared to Modus Ponens) because Modus
Tollens cannot be shown to be valid using the initial mental representation of the
conditional premise. Rather, it requires “fl ...
Artificial Intelligence – Agents and Environments
... Volume 1 champions agent-oriented design in the development of systems for Artificial Intelligence.
In Part 1, it defines what agents are, emphasizes the important role that environments have that
determine the types of interactions that can occur, and looks at some frameworks for building agents
Perception Processing for General Intelligence
... to the above-cited references, and assuming basic knowledge of how both systems
work. These two systems were not originally designed to work together, but we
will describe a method for achieving their tight integration via
1. Modifying DeSTIN in several ways, so that
types of anticipatory behaving agents in artificial life
... As another example showing different level of
anticipation, to explain our postulate above about
different levels, we can use something very common a
tennis player. While playing the opponent, a player is
trying to estimate (based on measured observations) the
opponent’s action and also the result o ...
3680Lecture11 - U of L Class Index
... • What are some ways that information might be
represented by neurons?
– Magnitude might be represented by firing rate
– Presence or absence of a feature or piece of information might
be represented by whether certain neurons are active or not –
the “labeled line” theory
– Conjunctions of features m ...
Cognitive Development in Infancy
... a desirable consequence. The major difference between primary circular reactions and secondary circular reactions is whether the infant’s activity is focused on the infant and his or
her own body (primary circular reactions), or involves actions relating to the world outside (secondary circular reac ...
Lecture 3 PPT
... the brain systems associated with abstract
reasoning and cognitive control can, at least
sometimes, bring these implicit biases and
other sorts of emotions into consciousness in
order to modify or override them
however: it is equally clear that conscious
self-control is an extremely limited resour ...
COGNITIVE CONTROL AND LANGUAGE COMPREHENSION 2 The
... of inhibition; however, experiments have shown that this variable can more accurately be
categorized as a measurement of conflict monitoring, as greater successful Go reaction times
relate to greater ERP indices of conflict monitoring (Nieuwenhuis, Yeung, van den Wildenberg,
& Ridderinkhof, 2003). C ...
A Gentle Introduction to Soar, an Architecture for Human
... until we’ve produced the desired result. We may have to learn new actions (braising
rather than frying) or the correct order for our actions (add liquids to solids, not the other
way around), but we do learn rather than simply act randomly.
2. It reflects a rich, complex, detailed environment. Altho ...
Mihai POLCEANU O.R.P.H.E.U.S.: Reasoning and
... Interactive virtual environments pose a wide variety of challenges for intelligent agents, especially to make decisions in order to reach their goals. The
difficulty of decision making tasks rises quickly when introducing continuous
space and real time. It also becomes increasingly harder to build i ...
CS 561a: Introduction to Artificial Intelligence
... • Agents have social ability, that is, they communicate with the
user, the system, and other agents as required
• Agents may also cooperate with other agents to carry out
more complex tasks than they themselves can handle
• Agents may migrate from one system to another to access
remote resources or ...
Compositional Design of a Generic Design Agent
... Processes can be described at different levels of abstraction; for example, the process of the multi-agent system
as a whole, processes defined by individual agents and the external world, and processes defined by task-related
components of individual agents. The identified processes are modelled as ...
The Simulation of Action Strategies of Different Personalities
... also appreciate the efforts of Roman Seidl and Bettina Riegel for helping and
carrying out the experiment.
Special thanks to Ruth Feith and Karin Baker for their friendly efforts to
understand German culture. And special thanks to my parents who gave me great
support during this work.
EEG dynamics of Alzheimer`s disease
... Nonlinear dynamical analysis
• EEG signals are generated by nonlinear deterministic processes
with nonlinear coupling interactions between neuronal populations.
• Nonlinear deterministic systems may show a sensitive dependence
on initial conditions, implying that different states of a system,
Optimality Theory and Human Sentence Processing: The Case of Coordination
... (i.e., in case of ambiguity, attach the new node to the most
recently processed constituent). According to this type of
approach, structural preferences in processing are the result
of general cognitive limitations, such as limitations on
working memory or bounds on complexity. Another
approach is t ...
A cognitive model is an approximation to animal cognitive processes (predominantly human) for the purposes of comprehension and prediction. Cognitive models can be developed within or without a cognitive architecture, though the two are not always easily distinguishable.In contrast to cognitive architectures, cognitive models tend to be focused on a single cognitive phenomenon or process (e.g., list learning), how two or more processes interact (e.g., visual search and decision making), or to make behavioral predictions for a specific task or tool (e.g., how instituting a new software package will affect productivity). Cognitive architectures tend to be focused on the structural properties of the modeled system, and help constrain the development of cognitive models within the architecture. Likewise, model development helps to inform limitations and shortcomings of the architecture. Some of the most popular architectures for cognitive modeling include ACT-R and Soar.